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": "structural_analysis", "description": "Performs structural analysis on a building based on its ID, floor numbers, and analysis mode.", "parameters": {"building_id": {"description": "The unique identifier of the building.", "type": "str", "default": "static"}, "floor_numbers": {"description": "The list of floor numbers to be analyzed.", "type": "List[int]", "default": "static"}, "analysis_mode": {"description": "The mode of analysis, either \"static\" or \"dynamic\". Defaults to \"static\".", "type": "str, optional"}}}, {"name": "get_dna_sequence", "description": "Retrieves the DNA sequence for a given sequence ID from the NCBI Nucleotide database.", "parameters": {"sequence_id": {"description": "The unique identifier for the DNA sequence.", "type": "str", "default": "fasta"}, "file_format": {"description": "The format of the returned sequence. Allowed values: \"fasta\" (default) or \"gb\".", "type": "str, optional"}, "upstream_bases": {"description": "The number of bases upstream of the sequence to include. Defaults to 0.", "type": "int, optional", "default": "fasta"}}}, {"name": "is_hotel_available", "description": "Checks the availability of a hotel for a given date range.", "parameters": {"hotel": {"description": "The name of the hotel.", "type": "str"}, "city": {"description": "The city where the hotel is located.", "type": "str"}, "checkin": {"description": "The check-in date in the format \"YYYY-MM-DD\".", "type": "str"}, "checkout": {"description": "The check-out date in the format \"YYYY-MM-DD\".", "type": "str"}}}, {"name": "assess_diabetes_risk", "description": "Assesses the risk of developing type 2 diabetes based on body mass index (BMI) and physical activity level.", "parameters": {"weight_lbs": {"description": "Body weight in pounds.", "type": "int"}, "height_inches": {"description": "Height in inches.", "type": "int"}, "activity": {"description": "Physical activity level. Allowed values: \"sedentary\", \"lightly active\", \"moderately active\", or \"very active\".", "type": "str"}}}, {"name": "predict_evolution_rate", "description": "Predict the evolutionary rate for a specific species for a given timeframe.", "parameters": {"species": {"description": "The species that the evolution rate will be predicted for.", "type": "str", "default": "Darwin"}, "years": {"description": "Number of years for the prediction.", "type": "int", "default": "Darwin"}, "model": {"description": "The model used to make the prediction, options: 'Darwin', 'Lamarck', default is 'Darwin'.", "type": "str"}}}, {"name": "project_investment_growth", "description": "Projects the growth of an investment over a specified number of years.", "parameters": {"principal": {"description": "The initial investment amount.", "type": "float", "default": true}, "annual_addition": {"description": "The amount added to the investment annually.", "type": "float", "default": true}, "years": {"description": "The number of years to project the investment growth.", "type": "int"}, "return_rate": {"description": "The annual return rate as a decimal (e.g., 0.07 for 7%).", "type": "float"}, "inflation": {"description": "A list of annual inflation rates as decimals.", "type": "List[float]"}, "inflation_adjusted": {"description": "Whether to adjust the final value for inflation. Defaults to True.", "type": "bool, optional"}}}, {"name": "whole_foods_order", "description": "Places an order at Whole Foods.", "parameters": {"store_location": {"description": "The location of the Whole Foods store.", "type": "str"}, "item_list": {"description": "A list of items to order.", "type": "list"}, "order_size": {"description": "The size of the order. Allowed values: \"small\", \"medium\", or \"large\".", "type": "str"}}}, {"name": "get_holidays_by_year", "description": "Retrieves the list of public holidays for a given year and country using the Nager.Date API.", "parameters": {"year": {"description": "The year for which to retrieve the holidays.", "type": "int"}, "country_code": {"description": "The two-letter ISO 3166-1 alpha-2 country code.", "type": "str"}}}]
Perform dynamic structural analysis on building 'B1234' for floors 5, 10, and 15.
user
assistant
[{"name": "structural_analysis", "arguments": {"building_id": "B1234", "floor_numbers": [5, 10, 15], "analysis_mode": "dynamic"}}]