# bfcl / bfcl-simple-python-246

- 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

Who discovered Gravity and what was the method used?

## 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": "science_history.get_discovery_details",
        "description": "Retrieve the details of a scientific discovery based on the discovery name.",
        "parameters": {
            "type": "dict",
            "properties": {
                "discovery": {
                    "type": "string",
                    "description": "The name of the discovery, e.g. Gravity"
                },
                "method_used": {
                    "type": "string",
                    "description": "The method used for the discovery, default value is 'default' which gives the most accepted method."
                }
            },
            "required": [
                "discovery"
            ]
        }
    }
]

## 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