user: I'm working on a statistical model related to health outcomes and need to calculate a few things. First, I need the probability of achieving exactly 5 successes in 10 trials, given each trial has a 50% chance of success. Additionally, for my analysis on the impact of the pandemic, I require the latest total death count for Italy due to COVID. Lastly, to correlate weather patterns with health data, could you fetch me the current temperature for New York City, located at 40.7128° N latitude and 74.0060° W longitude?

Available functions:
name: calc_binomial_probability
description: Calculates the probability of getting k successes in n trials.
parameters: type: dict
properties: n: type: integer
description: The number of trials.
k: type: integer
description: The number of successes.
p: type: float
description: The probability of success.
required: n
k
p
name: get_covid_death_by_country
description: Finds the most up to date total deaths of a country result from COVID.
parameters: type: dict
properties: country: type: string
description: The country to find the total deaths of, in the format of the country's full name.
required: country
name: get_weather_data
description: Fetches weather data from the Open-Meteo API for the given latitude and longitude.
parameters: type: dict
properties: coordinates: type: array
items: type: float
description: The latitude and longitude of the location.
required: coordinates

Ground truth function call(s):
calc_binomial_probability(n=10, k=5, p=0.5)
get_covid_death_by_country(country='Italy')
get_weather_data(coordinates=[40.7128, -74.0060])