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": "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": "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": "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"}}}]
Can you find out if the Queens Hotel in Berlin is available from March 16th to March 17th, 2022? Additionally, predict the evolutionary rate of the bottlenose dolphin over 30 years using the Lamarck model.
user
assistant
[{"name": "is_hotel_available", "arguments": {"hotel": "Queens Hotel", "city": "Berlin, Germany", "checkin": "2022-03-16", "checkout": "2022-03-17"}}, {"name": "predict_evolution_rate", "arguments": {"species": "bottlenose dolphin", "years": 30, "model": "Lamarck"}}]