# bfcl / bfcl-parallel-140

- 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

Can you find all the Drama and Comedy movies that Leonardo DiCaprio starred in 2010 and 2012 respectively by searching the database?

## 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": "imdb.find_movies_by_actor",
        "description": "Searches the database to find all movies by a specific actor within a certain year.",
        "parameters": {
            "type": "dict",
            "properties": {
                "actor_name": {
                    "type": "string",
                    "description": "The name of the actor."
                },
                "year": {
                    "type": "integer",
                    "description": "The specific year to search in."
                },
                "category": {
                    "type": "string",
                    "description": "The category of the film (e.g. Drama, Comedy, etc). This parameter is optional.",
                    "default": "Drama"
                }
            },
            "required": [
                "actor_name",
                "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
