nostaigia/ParaTool huggingface dataset:
name: park_information
description: Retrieve the basic information such as elevation and area of a national park.
parameters: type: dict
properties: park_name: type: string
description: The name of the national park.
information: type: array
items: type: string
enum: Elevation
Area
Location
Established Year
description: The type of information you want about the park.
required: park_name
information
name: us_history.get_president
description: Retrieve the U.S. president during a specific event in American history.
parameters: type: dict
properties: event: type: string
description: The event in U.S. history.
year: type: integer
description: The specific year of the event.
required: event
year
name: monopoly_odds_calculator
description: Calculates the probability of rolling a certain sum with two dice, commonly used in board game like Monopoly.
parameters: type: dict
properties: number: type: integer
description: The number for which the odds are calculated.
dice_number: type: integer
description: The number of dice involved in the roll.
dice_faces: type: integer
description: The number of faces on a single die. Default is 6 for standard six-faced die.
required: number
dice_number
name: soccer_stat.get_player_stats
description: Retrieve soccer player statistics for a given season.
parameters: type: dict
properties: player_name: type: string
description: Name of the player.
season: type: string
description: Soccer season, usually specified by two years.
league: type: string
description: Optional - the soccer league, defaults to all leagues. Default 'all'
required: player_name
season
name: poker_probability.full_house
description: Calculate the probability of getting a full house in a poker game.
parameters: type: dict
properties: deck_size: type: integer
description: The size of the deck. Default is 52.
hand_size: type: integer
description: The size of the hand. Default is 5.
required: deck_size
hand_size
name: game_result.get_winner
description: Get the winner of a specific basketball game.
parameters: type: dict
properties: teams: type: array
items: type: string
description: List of two teams who played the game.
date: type: string
description: The date of the game, formatted as YYYY-MM-DD.
venue: type: string
optional: yes
description: Optional: The venue of the game. Default is ''
required: teams
date
name: get_traffic_info
description: Retrieve current traffic conditions for a specified route.
parameters: type: dict
properties: start_location: type: string
description: The starting point of the route.
end_location: type: string
description: The destination of the route.
mode: type: string
enum: driving
walking
bicycling
transit
description: Preferred method of transportation, default to 'driving'.
required: start_location
end_location
name: calculate_compound_interest
description: Calculates the compound interest of an investment over a given time period.
parameters: type: dict
properties: principle: type: float
description: The initial amount of the investment.
interest_rate: type: float
description: The yearly interest rate of the investment.
time: type: integer
description: The time, in years, the money is invested or borrowed for.
compounds_per_year: type: integer
description: The number of times the interest is compounded per year. Default is 1 (interest is compounded yearly).
required: principle
interest_rate
time
name: cooking_conversion.convert
description: Convert cooking measurements from one unit to another.
parameters: type: dict
properties: quantity: type: integer
description: The quantity to be converted.
from_unit: type: string
description: The unit to convert from.
to_unit: type: string
description: The unit to convert to.
item: type: string
description: The item to be converted.
required: quantity
from_unit
to_unit
item
name: sports_db.find_athlete
description: Find the profile information of a sports athlete based on their full name.
parameters: type: dict
properties: name: type: string
description: The full name of the athlete.
team: type: string
description: The team the athlete belong to. Default is ''
sport: type: string
description: The sport that athlete plays.
enum: Basketball
Baseball
Football
Soccer
required: name
sport
name: get_defense_ranking
description: Retrieve the defence ranking of NBA teams in a specified season.
parameters: type: dict
properties: season: type: integer
description: The NBA season to get defence ranking from.
top: type: integer
default: 1
description: Number of top teams in defence ranking to fetch.
required: season
name: array_sort
description: Sorts a given list in ascending or descending order.
parameters: type: dict
properties: list: type: array
items: type: float
description: The list of numbers to be sorted.
order: type: string
enum: ascending
descending
description: Order of sorting. If not specified, it will default to ascending.
required: list
order
name: calculate_cagr
description: Calculate the Compound Annual Growth Rate (CAGR) given an initial investment value, a final investment value, and the number of years.
parameters: type: dict
properties: initial_value: type: float
description: The initial investment value.
final_value: type: float
description: The final investment value.
period_in_years: type: integer
description: The period of the investment in years.
required: initial_value
final_value
period_in_years
name: sports_ranking
description: Fetch the ranking of a specific sports team in a specific league
parameters: type: dict
properties: team: type: string
description: The name of the team.
league: type: string
description: The name of the league.
season: type: integer
description: Optional parameter to specify the season, default is the current season, 2024
required: team
league
name: calculate_compound_interest
description: Calculates the compound interest of an investment over a given time period.
parameters: type: dict
properties: principle: type: float
description: The initial amount of the investment.
interest_rate: type: float
description: The yearly interest rate of the investment.
time: type: integer
description: The time, in years, the money is invested or borrowed for.
compounds_per_year: type: integer
description: The number of times the interest is compounded per year. Default is 1 (interest is compounded yearly).
required: principle
interest_rate
time
name: find_instrument
description: Search for a musical instrument within specified budget and of specific type.
parameters: type: dict
properties: budget: type: float
description: Your budget for the instrument.
type: type: string
description: Type of the instrument
make: type: string
description: Maker of the instrument, Optional parameter. Default is ''
required: budget
type
name: calculate_binomial_probability
description: Calculates the binomial probability given the number of trials, successes and the probability of success on an individual trial.
parameters: type: dict
properties: number_of_trials: type: integer
description: The total number of trials.
number_of_successes: type: integer
description: The desired number of successful outcomes.
probability_of_success: type: float
description: The probability of a successful outcome on any given trial.
default: 0.5
required: number_of_trials
number_of_successes
name: electromagnetic_force
description: Calculate the electromagnetic force between two charges placed at a certain distance.
parameters: type: dict
properties: charge1: type: float
description: The magnitude of the first charge in coulombs.
charge2: type: float
description: The magnitude of the second charge in coulombs.
distance: type: float
description: The distance between the two charges in meters.
medium_permittivity: type: float
description: The relative permittivity of the medium in which the charges are present. Default is 8.854 x 10^-12 F/m (vacuum permittivity).
required: charge1
charge2
distance
name: sports_ranking.get_top_player
description: Get the top player in a specific sport.
parameters: type: dict
properties: sport: type: string
description: The type of sport.
gender: type: string
description: The gender of the sport category. Optional.
default: men
required: sport
name: vegan_restaurant.find_nearby
description: Locate nearby vegan restaurants based on specific criteria like operating hours.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. New York, NY
operating_hours: type: integer
description: Preferred latest closing time of the restaurant. E.g. if 11 is given, then restaurants that close at or after 11 PM will be considered. This is in 24 hour format. Default is 9.
required: location
name: hotel_booking
description: Books a hotel room given the location, room type, stay duration and any additional preferences.
parameters: type: dict
properties: location: type: string
description: The city where you want to book the hotel.
room_type: type: string
description: Type of the room required. Options: 'single', 'double', 'deluxe', etc.
duration: type: integer
description: The number of nights you want to book the hotel for.
start_date: type: string
description: The date when your stay begins.
preferences: type: array
items: type: string
enum: pet_friendly
gym
swimming_pool
free_breakfast
parking
description: Optional preferences of stay at the hotel. Default is empty array
required: location
room_type
duration
start_date
name: find_card_in_deck
description: Locate a particular card in a deck based on rank and suit.
parameters: type: dict
properties: rank: type: string
description: Rank of the card (e.g. Ace, Two, King).
suit: type: string
description: Suit of the card (e.g. Hearts, Spades, Diamonds, Clubs).
deck: type: array
items: type: dict
properties: rank: type: string
suit: type: string
description: Deck of cards. If not provided, the deck will be a standard 52 card deck by default
required: rank
suit
name: sports_team.get_schedule
description: Fetches the schedule of the specified sports team for the specified number of games in the given league.
parameters: type: dict
properties: team_name: type: string
description: The name of the sports team.
num_of_games: type: integer
description: Number of games for which to fetch the schedule.
league: type: string
description: The name of the sports league. If not provided, the function will fetch the schedule for all games, regardless of the league.
location: type: string
description: Optional. The city or venue where games are to be held. If not provided, all venues will be considered. Default to ''.
required: team_name
num_of_games
league
name: board_game.chess.get_top_players
description: Find top chess players in a location based on rating.
parameters: type: dict
properties: location: type: string
description: The city you want to find the players from.
minimum_rating: type: integer
description: Minimum rating to filter the players.
number_of_players: type: integer
default: 10
description: Number of players you want to retrieve, default value is 10
required: location
minimum_rating
name: get_historical_GDP
description: Retrieve historical GDP data for a specific country and time range.
parameters: type: dict
properties: country: type: string
description: The country for which the historical GDP data is required.
start_year: type: integer
description: Starting year of the period for which GDP data is required.
end_year: type: integer
description: Ending year of the period for which GDP data is required.
required: country
start_year
end_year
name: maps.get_distance_duration
description: Retrieve the travel distance and estimated travel time from one location to another via car
parameters: type: dict
properties: start_location: type: string
description: Starting point of the journey
end_location: type: string
description: Ending point of the journey
traffic: type: boolean
description: If true, considers current traffic. Default is false.
required: start_location
end_location
name: currency_exchange.convert
description: Convert an amount from a base currency to a target currency based on the current exchange rate.
parameters: type: dict
properties: base_currency: type: string
description: The currency to convert from.
target_currency: type: string
description: The currency to convert to.
amount: type: float
description: The amount in base currency to convert
required: base_currency
target_currency
amount
name: local_nursery.find
description: Locate local nurseries based on location and plant types availability.
parameters: type: dict
properties: location: type: string
description: The city or locality where the nursery needs to be located.
plant_types: type: array
items: type: string
enum: Annual
Perennial
Shrub
Tree
Herbs
Fruits
description: Type of plants the nursery should provide.
required: location
plant_types
name: find_card_in_deck
description: Locate a particular card in a deck based on rank and suit.
parameters: type: dict
properties: rank: type: string
description: Rank of the card (e.g. Ace, Two, King).
suit: type: string
description: Suit of the card (e.g. Hearts, Spades, Diamonds, Clubs).
deck: type: array
items: type: dict
properties: rank: type: string
suit: type: string
description: Deck of cards. If not provided, the deck will be a standard 52 card deck by default
required: rank
suit
name: recipe.unit_conversion
description: Convert a value from one kitchen unit to another for cooking purposes.
parameters: type: dict
properties: value: type: float
description: The value to be converted.
from_unit: type: string
description: The unit to convert from. Supports 'teaspoon', 'tablespoon', 'cup', etc.
to_unit: type: string
description: The unit to convert to. Supports 'teaspoon', 'tablespoon', 'cup', etc.
precision: type: integer
description: The precision to round the output to, in case of a non-integer result. Optional, default is 0.
required: value
from_unit
to_unit
name: poker_probability.full_house
description: Calculate the probability of getting a full house in a poker game.
parameters: type: dict
properties: deck_size: type: integer
description: The size of the deck. Default is 52.
hand_size: type: integer
description: The size of the hand. Default is 5.
required: deck_size
hand_size
name: hospital.locate
description: Locate nearby hospitals based on location and radius. Options to include specific departments are available.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. Denver, CO
radius: type: integer
description: The radius within which you want to find the hospital in kms.
department: type: string
description: Specific department within the hospital. Default is ''.
enum: General Medicine
Emergency
Pediatrics
Cardiology
Orthopedics
required: location
radius
name: find_recipe
description: Find a recipe based on the dietary restrictions, recipe type, and time constraints.
parameters: type: dict
properties: dietary_restrictions: type: string
description: Dietary restrictions e.g. vegan, vegetarian, gluten free, dairy free.
recipe_type: type: string
description: Type of the recipe. E.g. dessert, main course, breakfast.
time: type: integer
description: Time limit in minutes to prep the meal.
required: dietary_restrictions
recipe_type
time
name: flight.book
description: Book a direct flight for a specific date and time from departure location to destination location.
parameters: type: dict
properties: departure_location: type: string
description: The location you are departing from.
destination_location: type: string
description: The location you are flying to.
date: type: string
description: The date of the flight. Accepts standard date format e.g., 2022-04-28.
time: type: string
description: Preferred time of flight. Default is ''
direct_flight: type: boolean
description: If set to true, only direct flights will be searched. Default is false
required: departure_location
destination_location
date
name: event_finder.find_upcoming
description: Find upcoming events of a specific genre in a given location.
parameters: type: dict
properties: location: type: string
description: The city and state where the search will take place, e.g. New York, NY.
genre: type: string
description: The genre of events.
days_ahead: type: integer
description: The number of days from now to include in the search.
default: 7
required: location
genre
name: get_scientist_for_discovery
description: Retrieve the scientist's name who is credited for a specific scientific discovery or theory.
parameters: type: dict
properties: discovery: type: string
description: The scientific discovery or theory.
required: discovery
name: game_stats.fetch_player_statistics
description: Fetch player statistics for a specific video game for a given user.
parameters: type: dict
properties: game: type: string
description: The name of the video game.
username: type: string
description: The username of the player.
platform: type: string
description: The platform user is playing on.
default: PC
required: game
username
name: building.get_dimensions
description: Retrieve the dimensions of a specific building based on its name.
parameters: type: dict
properties: building_name: type: string
description: The name of the building.
unit: type: string
description: The unit in which you want the dimensions. Default is meter.
enum: meter
feet
required: building_name
unit
name: plot_sine_wave
description: Plot a sine wave for a given frequency in a given range.
parameters: type: dict
properties: start_range: type: float
description: Start of the range in radians.
end_range: type: float
description: End of the range in radians.
frequency: type: float
description: Frequency of the sine wave in Hz.
amplitude: type: float
description: Amplitude of the sine wave. Default is 1.
phase_shift: type: float
description: Phase shift of the sine wave in radians. Default is 0.
required: start_range
end_range
frequency
name: random_forest.train
description: Train a Random Forest Model on given data
parameters: type: dict
properties: n_estimators: type: integer
description: The number of trees in the forest.
max_depth: type: integer
description: The maximum depth of the tree.
data: type: any
description: The training data for the model.
required: n_estimators
max_depth
data
name: soccer.get_last_match
description: Retrieve the details of the last match played by a specified soccer club.
parameters: type: dict
properties: team_name: type: string
description: The name of the soccer club.
include_stats: type: boolean
description: If true, include match statistics like possession, shots on target etc. Default is false.
required: team_name
name: geo_distance.calculate
description: Calculate the geographic distance between two given locations.
parameters: type: dict
properties: start_location: type: string
description: The starting location for the distance calculation.
end_location: type: string
description: The destination location for the distance calculation.
units: type: string
description: Optional. The desired units for the resulting distance ('miles' or 'kilometers'). Defaults to 'miles'.
required: start_location
end_location
name: multiplayer_game_finder
description: Locate multiplayer games that match specific criteria such as rating, platform compatibility, genre, etc.
parameters: type: dict
properties: platform: type: string
description: The platform you want the game to be compatible with, e.g. Windows 10, PS5.
rating: type: float
description: Desired minimum game rating on a 5.0 scale.
genre: type: string
description: Desired game genre, e.g. Action, Adventure, Racing. Default is ''.
enum: Action
Adventure
Racing
Strategy
Simulation
required: platform
rating
name: send_email
description: Send an email to the specified email address.
parameters: type: dict
properties: to: type: string
description: The email address to send to.
subject: type: string
description: The subject of the email.
body: type: string
description: The body content of the email.
cc: type: string
description: The email address to carbon copy. Default is ''.
bcc: type: string
description: The email address to blind carbon copy. Default is ''.
required: to
subject
body
name: calculate_area_under_curve
description: Calculate the area under a mathematical function within a given interval.
parameters: type: dict
properties: function: type: string
description: The mathematical function as a string.
interval: type: array
items: type: float
description: An array that defines the interval to calculate the area under the curve from the start to the end point.
method: type: string
description: The numerical method to approximate the area under the curve. The default value is 'trapezoidal'.
required: function
interval
name: get_stock_price
description: Retrieves the current stock price of the specified companies
parameters: type: dict
properties: company_names: type: array
items: type: string
description: The list of companies for which to retrieve the stock price.
required: company_names
name: get_team_ranking
description: Retrieve the FIFA ranking of a specific soccer team for a certain year.
parameters: type: dict
properties: team_name: type: string
description: The name of the soccer team.
year: type: integer
description: The year for which the ranking is to be retrieved.
gender: type: string
description: The gender of the team. It can be either 'men' or 'women'. Default is 'men'.
required: team_name
year
name: recipe_info.get_calories
description: Retrieve the amount of calories from a specific recipe in a food website.
parameters: type: dict
properties: website: type: string
description: The food website that has the recipe.
recipe: type: string
description: Name of the recipe.
optional_meal_time: type: string
description: Specific meal time of the day for the recipe (optional, could be 'Breakfast', 'Lunch', 'Dinner') Default is ''
required: website
recipe
name: detailed_weather_forecast
description: Retrieve a detailed weather forecast for a specific location and duration including optional precipitation details.
parameters: type: dict
properties: location: type: string
description: The city that you want to get the weather for.
duration: type: integer
description: Duration in hours for the detailed forecast.
include_precipitation: type: boolean
description: Whether to include precipitation data in the forecast. Default is false.
required: location
duration
name: recipe_search
description: Search for a recipe given dietary restriction, ingredients, and number of servings.
parameters: type: dict
properties: dietary_restriction: type: string
description: The dietary restriction, e.g., 'Vegetarian'.
ingredients: type: array
items: type: string
description: The list of ingredients.
servings: type: integer
description: The number of servings the recipe should make
required: dietary_restriction
ingredients
servings
name: get_time_difference
description: Get the time difference between two places.
parameters: type: dict
properties: place1: type: string
description: The first place for time difference.
place2: type: string
description: The second place for time difference.
required: place1
place2
name: board_game.chess.get_top_players
description: Find top chess players in a location based on rating.
parameters: type: dict
properties: location: type: string
description: The city you want to find the players from.
minimum_rating: type: integer
description: Minimum rating to filter the players.
number_of_players: type: integer
default: 10
description: Number of players you want to retrieve, default value is 10
required: location
minimum_rating
name: restaurant_search.find_closest
description: Locate the closest sushi restaurant based on certain criteria, such as the presence of a patio.
parameters: type: dict
properties: location: type: string
description: The city, for instance Boston, MA
cuisine: type: string
description: Type of food like Sushi.
amenities: type: array
items: type: string
enum: Patio
Wi-Fi
Happy Hour
Wheelchair Accessible
description: Preferred amenities in the restaurant. Default is empty array.
required: location
cuisine
name: find_recipe
description: Find a recipe based on the dietary restrictions, recipe type, and time constraints.
parameters: type: dict
properties: dietary_restrictions: type: string
description: Dietary restrictions e.g. vegan, vegetarian, gluten free, dairy free.
recipe_type: type: string
description: Type of the recipe. E.g. dessert, main course, breakfast.
time: type: integer
description: Time limit in minutes to prep the meal.
required: dietary_restrictions
recipe_type
time
name: science_history.get_discovery_details
description: Retrieve the details of a scientific discovery based on the discovery name.
parameters: type: dict
properties: discovery: type: string
description: The name of the discovery, e.g. Gravity
method_used: type: string
description: The method used for the discovery, default value is 'default' which gives the most accepted method.
required: discovery
name: geometry.area_circle
description: Calculate the area of a circle given the radius.
parameters: type: dict
properties: radius: type: float
description: The radius of the circle.
units: type: string
description: The units in which the radius is measured (defaults to meters).
default: meters
required: radius
name: find_recipes
description: Find recipes based on dietary restrictions, meal type, and preferred ingredients.
parameters: type: dict
properties: diet: type: string
description: The dietary restrictions, e.g., 'vegan', 'gluten-free'.
meal_type: type: string
description: The type of meal, e.g., 'dinner', 'breakfast'.
ingredients: type: array
items: type: string
description: The preferred ingredients. If left blank, it will return general recipes. Default is empty array.
required: diet
meal_type
name: whole_foods.check_price
description: Check the price of items at a specific Whole Foods location.
parameters: type: dict
properties: location: type: string
description: Location of the Whole Foods store.
items: type: array
items: type: string
description: List of items for which the price needs to be checked.
required: location
items
name: calculate_shortest_distance
description: Calculate the shortest driving distance between two locations.
parameters: type: dict
properties: start_location: type: string
description: The starting location for the drive.
end_location: type: string
description: The destination location for the drive.
route_preference: type: string
enum: Shortest
Scenic
description: The preferred type of route.
required: start_location
end_location
route_preference
name: sentiment_analysis
description: Perform sentiment analysis on a given piece of text.
parameters: type: dict
properties: text: type: string
description: The text on which to perform sentiment analysis.
language: type: string
description: The language in which the text is written.
required: text
language
name: psych_research.get_preference
description: Gathers research data on public preference between two options, based on societal category.
parameters: type: dict
properties: category: type: string
description: The societal category the preference data is about. E.g. reading, transportation, food
option_one: type: string
description: The first option people could prefer.
option_two: type: string
description: The second option people could prefer.
demographic: type: string
description: Specific demographic of society to narrow down the research.
default: all
required: category
option_one
option_two
name: grocery_store.find_best
description: Find the closest high-rated grocery stores based on certain product availability.
parameters: type: dict
properties: my_location: type: string
description: The current location of the user.
rating: type: float
description: The minimum required store rating. Default is 0.0.
products: type: array
items: type: string
description: Required products in a list.
required: my_location
products
name: train_random_forest_classifier
description: Train a Random Forest classifier with the specified parameters.
parameters: type: dict
properties: dataset: type: string
description: The dataset to train the classifier on.
max_depth: type: integer
description: The maximum depth of the trees in the forest.
n_estimators: type: integer
description: The number of trees in the forest.
required: dataset
max_depth
n_estimators
name: calculate_emission_savings
description: Calculate potential greenhouse gas emissions saved by switching to renewable energy sources.
parameters: type: dict
properties: energy_type: type: string
description: Type of the renewable energy source.
usage_duration: type: integer
description: Usage duration in months.
region: type: string
description: The region where you use energy. Default is 'USA'
required: energy_type
usage_duration
name: timezone.convert
description: Convert time from one time zone to another.
parameters: type: dict
properties: time: type: string
description: The local time you want to convert, e.g. 3pm
from_timezone: type: string
description: The time zone you want to convert from.
to_timezone: type: string
description: The time zone you want to convert to.
required: time
from_timezone
to_timezone
name: get_stock_price
description: Retrieves the current stock price of the specified companies
parameters: type: dict
properties: company_names: type: array
items: type: string
description: The list of companies for which to retrieve the stock price.
required: company_names
name: currency_converter
description: Calculates the cost in target currency given the amount in base currency and exchange rate
parameters: type: dict
properties: base_currency: type: string
description: The currency to convert from.
target_currency: type: string
description: The currency to convert to.
amount: type: float
description: The amount in base currency
required: base_currency
target_currency
amount
name: book_hotel
description: Book a room of specified type for a particular number of nights at a specific hotel, starting from a specified date.
parameters: type: dict
properties: hotel_name: type: string
description: The name of the hotel.
location: type: string
description: The city in which the hotel is located.
room_type: type: string
description: The type of room to be booked.
start_date: type: string
description: The start date for the booking.
nights: type: integer
description: The number of nights for which the booking is to be made.
required: hotel_name
location
room_type
start_date
nights
name: random.normalvariate
description: Generates a random number from a normal distribution given the mean and standard deviation.
parameters: type: dict
properties: mu: type: float
description: Mean of the normal distribution.
sigma: type: float
description: Standard deviation of the normal distribution.
required: mu
sigma
name: get_personality_traits
description: Retrieve the personality traits for a specific personality type, including their strengths and weaknesses.
parameters: type: dict
properties: type: type: string
description: The personality type.
traits: type: array
items: type: string
enum: strengths
weaknesses
description: List of traits to be retrieved, default is ['strengths', 'weaknesses'].
required: type
name: elephant_population_estimate
description: Estimate future population of elephants given current population and growth rate.
parameters: type: dict
properties: current_population: type: integer
description: The current number of elephants.
growth_rate: type: float
description: The annual population growth rate of elephants.
years: type: integer
description: The number of years to project the population.
required: current_population
growth_rate
years
name: book_hotel
description: Book a room in a specific hotel with particular preferences
parameters: type: dict
properties: hotel_name: type: string
description: The name of the hotel.
location: type: string
description: The location of the hotel.
room_type: type: string
description: The type of room preferred.
start_date: type: string
description: The starting date of the stay in format MM-DD-YYYY.
stay_duration: type: integer
description: The duration of the stay in days.
view: type: string
description: The preferred view from the room, can be ignored if no preference. If none provided, assumes no preference.
default: No preference
required: hotel_name
location
room_type
start_date
stay_duration
name: currency_conversion.convert
description: Convert a value from one currency to another.
parameters: type: dict
properties: amount: type: integer
description: The amount to be converted.
from_currency: type: string
description: The currency to convert from.
to_currency: type: string
description: The currency to convert to.
required: amount
from_currency
to_currency
name: calc_absolute_pressure
description: Calculates the absolute pressure from gauge and atmospheric pressures.
parameters: type: dict
properties: atm_pressure: type: float
description: The atmospheric pressure in atmospheres (atm). Default is 1 atm if not provided.
gauge_pressure: type: float
description: The gauge pressure in atmospheres (atm). Must be provided.
required: gauge_pressure
name: calculate_displacement
description: Calculates the displacement of an object in motion given initial velocity, time, and acceleration.
parameters: type: dict
properties: initial_velocity: type: float
description: The initial velocity of the object in m/s.
time: type: float
description: The time in seconds that the object has been in motion.
acceleration: type: float
description: The acceleration of the object in m/s^2.
default: 0
required: initial_velocity
time
name: math.factorial
description: Calculate the factorial of a given number.
parameters: type: dict
properties: number: type: float
description: The number for which factorial needs to be calculated.
required: number
name: grocery_store.find_best
description: Find the closest high-rated grocery stores based on certain product availability.
parameters: type: dict
properties: my_location: type: string
description: The current location of the user.
rating: type: float
description: The minimum required store rating. Default is 0.0.
products: type: array
items: type: string
description: Required products in a list.
required: my_location
products
name: restaurant.find_nearby
description: Locate nearby restaurants based on specific criteria like cuisine type.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. Seattle, WA
cuisine: type: string
description: Preferred type of cuisine in restaurant.
max_distance: type: float
description: Maximum distance (in miles) within which to search for restaurants. Default is 5.
required: location
cuisine
name: maps.get_distance_duration
description: Retrieve the travel distance and estimated travel time from one location to another via car
parameters: type: dict
properties: start_location: type: string
description: Starting point of the journey
end_location: type: string
description: Ending point of the journey
traffic: type: boolean
description: If true, considers current traffic. Default is false.
required: start_location
end_location
name: discoverer.get
description: Retrieve the name of the discoverer of an element based on its name.
parameters: type: dict
properties: element_name: type: string
description: The name of the element.
year: type: integer
description: Optional parameter that refers to the year of discovery. It could be helpful in case an element was discovered more than once. Default is 0.
first: type: boolean
default: yes
description: Optional parameter indicating if the first discoverer's name should be retrieved.
required: element_name
name: lawsuit.check_case
description: Verify the details of a lawsuit case and check its status using case ID.
parameters: type: dict
properties: case_id: type: integer
description: The identification number of the lawsuit case.
closed_status: type: boolean
description: The status of the lawsuit case to be verified.
required: case_id
closed_status
name: get_museum_hours
description: Retrieve opening hours of a specified museum for the specified day.
parameters: type: dict
properties: museum_name: type: string
description: The name of the museum.
day: type: string
description: Day of the week.
enum: Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Sunday
required: museum_name
day
name: monopoly_odds_calculator
description: Calculates the probability of rolling a certain sum with two dice, commonly used in board game like Monopoly.
parameters: type: dict
properties: number: type: integer
description: The number for which the odds are calculated.
dice_number: type: integer
description: The number of dice involved in the roll.
dice_faces: type: integer
description: The number of faces on a single die. Default is 6 for standard six-faced die.
required: number
dice_number
name: get_lawsuit_details
description: Retrieve the detailed information about a lawsuit based on its case number and the court location.
parameters: type: dict
properties: case_number: type: string
description: The case number of the lawsuit.
court_location: type: string
description: The location of the court where the case is filed.
additional_details: type: array
items: type: string
enum: attorneys
plaintiffs
defendants
charges
court_updates
description: Optional. Array containing additional details to be fetched. Default is empty array.
required: case_number
court_location
name: get_team_rank
description: Get the team ranking in a sports league based on season and type.
parameters: type: dict
properties: team_name: type: string
description: The name of the sports team.
league: type: string
description: The name of the league in which the team competes.
season: type: string
description: The season for which the team's ranking is sought.
type: type: string
description: Type of the season: regular or playoff.
enum: regular
playoff
required: team_name
league
season
type
name: calc_heat_capacity
description: Calculate the heat capacity at constant pressure of air using its temperature and volume.
parameters: type: dict
properties: temp: type: integer
description: The temperature of the gas in Kelvin.
volume: type: integer
description: The volume of the gas in m^3.
gas: type: string
description: Type of gas, with air as default.
required: temp
volume
name: locate_tallest_mountains
description: Find the tallest mountains within a specified radius of a location.
parameters: type: dict
properties: location: type: string
description: The city from which to calculate distance.
radius: type: float
description: The radius within which to find mountains, measured in kilometers.
amount: type: integer
description: The number of mountains to find, listed from tallest to smallest.
required: location
radius
amount
name: calculate_electric_field
description: Calculate the electric field produced by a charge at a certain distance.
parameters: type: dict
properties: charge: type: float
description: Charge in coulombs producing the electric field.
distance: type: float
description: Distance from the charge in meters where the field is being measured.
permitivity: type: float
description: Permitivity of the space where field is being calculated, default is for vacuum.
required: charge
distance
name: calculate_genotype_frequency
description: Calculate the frequency of homozygous dominant genotype based on the allele frequency using Hardy Weinberg Principle.
parameters: type: dict
properties: allele_frequency: type: float
description: The frequency of the dominant allele in the population.
genotype: type: string
description: The genotype which frequency is needed, default is homozygous dominant. 
enum: AA
Aa
aa
required: allele_frequency
genotype
name: cellbio.get_proteins
description: Get the list of proteins in a specific cell compartment.
parameters: type: dict
properties: cell_compartment: type: string
description: The specific cell compartment.
include_description: type: boolean
description: Set true if you want a brief description of each protein.
default: false
required: cell_compartment
name: create_player_profile
description: Create a new player profile with character name, class and starting level.
parameters: type: dict
properties: player_name: type: string
description: The desired name of the player.
_class: type: string
description: The character class for the player
starting_level: type: integer
description: The starting level for the player
default: 1
required: player_name
_class
name: walmart.purchase
description: Retrieve information of items from Walmart including stock availability.
parameters: type: dict
properties: loc: type: string
description: Location of the nearest Walmart.
product_list: type: array
items: type: string
description: Items to be purchased listed in an array.
pack_size: type: array
items: type: integer
description: Size of the product pack if applicable. The size of the array should be equal to product_list. Default is an empty array
required: loc
product_list
name: mutation_type.find
description: Finds the type of a genetic mutation based on its SNP (Single Nucleotide Polymorphism) ID.
parameters: type: dict
properties: snp_id: type: string
description: The ID of the Single Nucleotide Polymorphism (SNP) mutation.
species: type: string
description: Species in which the SNP occurs, default is 'Homo sapiens' (Humans).
required: snp_id
name: find_restaurants
description: Locate nearby restaurants based on location and food preferences.
parameters: type: dict
properties: location: type: string
description: The specific location or area.
food_type: type: string
description: The type of food preferred.
number: type: integer
description: Number of results to return.
dietary_requirements: type: array
items: type: string
description: Special dietary requirements, e.g. vegan, gluten-free.
default: None
required: location
food_type
number
name: calculate_genotype_frequency
description: Calculate the frequency of homozygous dominant genotype based on the allele frequency using Hardy Weinberg Principle.
parameters: type: dict
properties: allele_frequency: type: float
description: The frequency of the dominant allele in the population.
genotype: type: string
description: The genotype which frequency is needed, default is homozygous dominant. 
enum: AA
Aa
aa
required: allele_frequency
genotype
name: hotel_booking
description: Books a hotel room for a specific date range.
parameters: type: dict
properties: hotel_name: type: string
description: The name of the hotel.
location: type: string
description: The city and state, e.g. New York, NY.
start_date: type: string
description: The start date of the reservation. Use format 'YYYY-MM-DD'.
end_date: type: string
description: The end date of the reservation. Use format 'YYYY-MM-DD'.
rooms: type: integer
default: 1
description: The number of rooms to reserve.
required: hotel_name
location
start_date
end_date
name: get_highest_scoring_player
description: Retrieve the highest scoring player in a specific game and season.
parameters: type: dict
properties: game: type: string
description: The game in which you want to find the highest scoring player.
season: type: string
description: The season during which the high score was achieved.
region: type: string
description: The geographical region in which the game is being played (Optional). Default is 'all'
required: game
season
name: science_history.get_invention
description: Retrieve the inventor and year of invention based on the invention's name.
parameters: type: dict
properties: invention_name: type: string
description: The name of the invention.
want_year: type: boolean
default: no
description: Return the year of invention if set to true.
required: invention_name
want_year
name: forest_growth_forecast
description: Predicts the forest growth over the next N years based on current trends.
parameters: type: dict
properties: location: type: string
description: The location where you want to predict forest growth.
years: type: integer
description: The number of years for the forecast.
include_human_impact: type: boolean
description: Whether or not to include the impact of human activities in the forecast. If not provided, defaults to false.
required: location
years
name: db_fetch_records
description: Fetch records from a specified database table based on certain conditions.
parameters: type: dict
properties: database_name: type: string
description: The name of the database.
table_name: type: string
description: The name of the table from which records need to be fetched.
conditions: type: dict
properties: department: type: string
description: The name of the department of students.
school: type: string
description: The name of the school students are enrolled in.
description: The conditions based on which records are to be fetched.
fetch_limit: type: integer
description: Limits the number of records to be fetched. If left empty, it fetches all records. (Optional) Default is 0.
required: database_name
table_name
conditions