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": "is_leap_year", "description": "Checks if a year is a leap year.", "parameters": {"year": {"description": "The year to check.", "type": "int"}}}, {"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": "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_forest_area", "description": "Predicts the change in forest area over a specified number of years.", "parameters": {"location": {"description": "The geographic location for the prediction.", "type": "str"}, "num_years": {"description": "The number of years into the future to make the prediction.", "type": "int"}, "include_humans": {"description": "Whether to include the impact of human activities in the prediction. Defaults to False.", "type": "bool, optional"}}}, {"name": "get_pokemon_move_info", "description": "Retrieves information about a Pok\u00e9mon's move using the Pok\u00e9API.", "parameters": {"pokemon_name": {"description": "The name of the Pok\u00e9mon.", "type": "str", "default": "run"}, "move_name": {"description": "The name of the move to check. Defaults to \"run\".", "type": "str, optional", "default": "run"}}}, {"name": "get_city_from_zipcode", "description": "Retrieves the city name for a given ZIP code using the Ziptastic API.", "parameters": {"zipcode": {"description": "The ZIP code to look up.", "type": "str"}}}, {"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_ip_location", "description": "Retrieves the latitude and longitude coordinates of a given IP address using the ip-api.com API.", "parameters": {"ip": {"description": "The IP address to locate.", "type": "str"}}}]
Find the city for the ZIP code '94043', and then perform static and dynamic structural analysis on building 'A123B' for floors 1, 2, 3.
user
assistant
[{"name": "get_city_from_zipcode", "arguments": {"zipcode": "94043"}}, {"name": "structural_analysis", "arguments": {"building_id": "A123B", "floor_numbers": [1, 2, 3], "analysis_mode": "static"}}, {"name": "structural_analysis", "arguments": {"building_id": "A123B", "floor_numbers": [1, 2, 3], "analysis_mode": "dynamic"}}]