You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "draw_cards", "description": "Shuffles a standard deck of 52 cards and draws a specified number of cards from the top.", "parameters": {"num_draw": {"description": "The number of cards to be drawn. Defaults to 1.", "type": "int, optional", "default": 1}}}, {"name": "convert_cooking_measurements", "description": "Converts a quantity of a cooking ingredient from one measurement unit to another.", "parameters": {"quantity": {"description": "The quantity of the item to convert.", "type": "float"}, "from_unit": {"description": "The unit of the input quantity (e.g., 'cup', 'gram').", "type": "str"}, "to_unit": {"description": "The unit to which the quantity should be converted (e.g., 'ounce', 'kilogram').", "type": "str"}, "item": {"description": "The cooking ingredient being converted (e.g., 'flour', 'sugar').", "type": "str"}}}, {"name": "prime_factorization", "description": "Computes the prime factorization of a positive integer.", "parameters": {"number": {"description": "The positive integer to factorize.", "type": "int"}}}, {"name": "count_bits", "description": "Counts the number of set bits (1's) in the binary representation of a number.", "parameters": {"num": {"description": "The input number.", "type": "int"}}}, {"name": "cosine_similarity", "description": "Calculates the cosine similarity between two vectors.", "parameters": {"vector_a": {"description": "The first vector.", "type": "List[float]"}, "vector_b": {"description": "The second vector.", "type": "List[float]"}}}, {"name": "fibonacci_numbers", "description": "Generates the first n Fibonacci numbers.", "parameters": {"n": {"description": "The number of Fibonacci numbers to generate.", "type": "int"}}}]
Draw 5 random cards from a shuffled deck.
user
assistant
[{"name": "draw_cards", "arguments": {"num_draw": 5}}]