user: Alright, I've got a few tasks to take care of. I need to look up the slang definition of "Hello World" to settle a debate with my friend about programming jargon. While doing that, I also have to check the latest one-month stock history for Apple Inc. (AAPL), and I need the data to include dividends and stock splits. I'm working on a physics project too, so I need to figure out the density of an object that weighs 10 kilograms and occupies a space of 2 cubic meters. Oh, and for my math homework, can you help me organize these numbers in descending order: [5, 2, 9, 1, 7, 4, 6, 3, 8]?

Available functions:
name: find_term_on_urban_dictionary
description: Finds the definition of a term on Urban Dictionary.
parameters: type: dict
properties: term: type: string
description: The term to find the definition of.
required: term
name: calculate_density
description: Calculates the density of an object.
parameters: type: dict
properties: mass: type: float
description: The mass of the object, in kilograms.
volume: type: float
description: The volume of the object, in cubic meters.
required: mass
volume
name: get_stock_history
description: Finds the price of a stock by its stock name.
parameters: type: dict
properties: stock_name: type: string
description: The stock name of the product, in the format of the stock symbol.
interval: type: string
description: The interval of the stock history. Allows one of following : 5m|15m|30m|1h|1d|1wk|1mo|3mo
diffandsplits: type: string
description: The diff and splits of the stock history. Allows one of following : true|false. Default to false
required: stock_name
interval
name: sort_array
description: Sorts an array of numbers.
parameters: type: dict
properties: array: type: array
items: type: float
description: The array of numbers.
reverse: type: boolean
description: Whether to sort the array in reverse order, i.e., descending order.
default: no
required: array

Ground truth function call(s):
find_term_on_urban_dictionary(term='Hello World')
get_stock_history(stock_name='AAPL', interval='1mo', diffandsplits='true')
calculate_density(mass=10, volume=2)
sort_array(array=[5, 2, 9, 1, 7, 4, 6, 3, 8], reverse=True)