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": "api_nutrition_data", "description": "Fetches nutritional analysis for a given unstructured food text input.", "parameters": {"ingr": {"description": "The unstructured food text (usually an ingredient line) to be analyzed.", "type": "str", "default": ""}, "nutrition_type": {"description": "Specifies the context for the food item. Defaults to 'cooking'.", "type": "str, optional", "default": "cooking"}}}, {"name": "get_recipes_details", "description": "Fetches the details of a recipe by its slug using the Toolbench RapidAPI.", "parameters": {"slug": {"description": "The unique identifier for the recipe.", "type": "str", "default": "articulo-13-jugos-verdes-para-adelgazar-y-quemar-grasa-71482.html"}}}, {"name": "get_desserts_by_there_id", "description": "Fetch dessert information from an API using a given dessert ID.", "parameters": {"is_id": {"description": "The ID of the dessert to look up.", "type": "str", "default": ""}}}]
Fetch nutritional analysis for '1 cup of broccoli' considering it as a raw food. After that, get the details of the recipe with the slug 'crema-de-espinacas-y-aguacate'. Finally, fetch the dessert information for the dessert with the ID '5892'.
user
assistant
[{"name": "api_nutrition_data", "arguments": {"ingr": "1 cup of broccoli", "nutrition_type": "food logging"}}, {"name": "get_recipes_details", "arguments": {"slug": "crema-de-espinacas-y-aguacate"}}, {"name": "get_desserts_by_there_id", "arguments": {"is_id": "5892"}}]