# bfcl / bfcl-live-parallel-multiple-6-5-0

- 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

interviewers list for Python and Java

## 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": "get_interviewer_list",
        "description": "Retrieve a list of interviewers who are qualified based on a specific skill set.",
        "parameters": {
            "type": "dict",
            "required": [
                "skill"
            ],
            "properties": {
                "skill": {
                    "type": "string",
                    "description": "The skill for which to find qualified interviewers, such as 'Python', 'Data Analysis', or 'System Design'."
                },
                "experience_level": {
                    "type": "string",
                    "description": "The required experience level for the interviewers.",
                    "enum": [
                        "Junior",
                        "Mid-Level",
                        "Senior",
                        "Lead"
                    ],
                    "default": "Mid-Level"
                },
                "availability": {
                    "type": "boolean",
                    "description": "Filter for interviewers who are currently available.",
                    "default": true
                }
            }
        }
    },
    {
        "name": "review_of_interviewer",
        "description": "Retrieve the average rating and reviews for a specified interviewer based on their full name.",
        "parameters": {
            "type": "dict",
            "required": [
                "interviewer_name"
            ],
            "properties": {
                "interviewer_name": {
                    "type": "string",
                    "description": "The full name of the interviewer to fetch reviews for, e.g., 'Jane Doe'."
                },
                "include_comments": {
                    "type": "boolean",
                    "description": "Flag to determine whether to include text comments in the response.",
                    "default": false
                }
            }
        }
    }
]

## 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