# bfcl / bfcl-multiple-72 - 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 What was the population of California in 1970? ## 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": "us_history.population_by_state_year", "description": "Retrieve historical population data for a specific U.S. state and year.", "parameters": { "type": "dict", "properties": { "state": { "type": "string", "description": "The U.S. state for which to retrieve the population." }, "year": { "type": "integer", "description": "The year for which to retrieve the population." } }, "required": [ "state", "year" ] } }, { "name": "us_economy.gdp_by_state_year", "description": "Retrieve historical GDP data for a specific U.S. state and year.", "parameters": { "type": "dict", "properties": { "state": { "type": "string", "description": "The U.S. state for which to retrieve the GDP." }, "year": { "type": "integer", "description": "The year for which to retrieve the GDP." }, "adjustment": { "type": "string", "description": "The type of adjustment for inflation, 'Real' or 'Nominal'. Optional, 'Nominal' by default.", "enum": [ "Real", "Nominal" ] } }, "required": [ "state", "year" ] } } ] ## 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