# bfcl / bfcl-live-parallel-12-8-0 - taskset: [bfcl](https://harnessreport.com/tasks/bfcl.md) - difficulty: medium - category: function_calling - language: - runnable from the site: no - agent timeout: 300s ## Results by harness _none yet_ ## Instruction ``` # Task For breakfast I had a 12 ounce iced coffee and a banana. For lunch I had a quesadilla Breakfast four ounces of asparagus, two eggs, one piece of gluten free bread. ## Available Functions Based on the question, you will need to make one or more function/tool calls to achieve the purpose. If none of the functions can be used, do not invoke any function. If the given question lacks the parameters required by the function, do not invoke the function. Here is a list of functions in JSON format that you can invoke. [ { "name": "log_food", "description": "Logs a food item with details about the portion size and the meal it is associated with.", "parameters": { "type": "dict", "required": [ "food_name", "portion_amount", "meal_name" ], "properties": { "food_name": { "type": "string", "description": "The name of the food to log." }, "portion_amount": { "type": "float", "description": "The amount of the food item that was consumed, in specified units." }, "portion_unit": { "type": "string", "description": "The unit of measure for the portion amount. Choose a unit such as 'grams', 'ounces', 'pieces', 'cups', or 'tablespoons'.", "enum": [ "grams", "ounces", "pieces", "cups", "tablespoons" ], "default": "grams" }, "meal_name": { "type": "string", "description": "The name of the meal with which the food item is associated. Options include 'breakfast', 'lunch', 'dinner', or 'snack'." } } } } ] ## Output Analyze the request and determine the appropriate function call(s). Write ONLY a JSON array to `/app/result.json`. Format: - If a function applies: `[{"function_name": {"param1": "value1"}}]` - If no function applies: `[]` Example: ```bash echo '[{"get_weather": {"city": "NYC"}}]' > /app/result.json ``` IMPORTANT: You MUST execute the command to write the file. ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp