# acebench-normal / ace-bench_normal_multi_turn_user_adjust_30_0

- taskset: [acebench-normal](https://harnessreport.com/tasks/acebench-normal.md)
- difficulty: medium
- category: tool-use
- language: 
- runnable from the site: no
- agent timeout: 300s

## Results by harness

_none yet_

## Instruction

```
# Tool Usage Task

You are given a user question and a set of available tools. Call the correct tool(s) to answer the question.

## Question
user: I want to collect feedback for my employee John Doe. Please go ahead and do this.
system: Can you please provide the employee ID for John Doe and specify which feedback methods you'd like to use? (e.g., 360-degree feedback, continuous feedback)
user: John's employee ID is JD-45678, and I'd like to use both 360-degree feedback and continuous feedback methods.


## Available Tools

```json
[
  {
    "name": "PerformanceFeedbackManager_analyzeFeedback",
    "description": "Analyzes collected feedback to identify strengths, weaknesses, and improvement opportunities for an employee.",
    "parameters": {
      "type": "object",
      "properties": {
        "employeeId": {
          "description": "Unique identifier for the employee.",
          "type": "string",
          "pattern": "^[A-Za-z0-9-]+$"
        },
        "feedbackId": {
          "description": "Identifier for the collected feedback to analyze.",
          "type": "string"
        }
      },
      "required": [
        "employeeId",
        "feedbackId"
      ]
    }
  },
  {
    "name": "PerformanceFeedbackManager_collectFeedback",
    "description": "Collects and aggregates employee performance feedback from multiple sources, applying specified feedback methods.",
    "parameters": {
      "type": "object",
      "properties": {
        "employeeId": {
          "description": "Unique identifier for the employee.",
          "type": "string",
          "pattern": "^[A-Za-z0-9-]+$"
        },
        "feedbackMethods": {
          "description": "List of feedback methods to be applied.",
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "360-degree feedback",
              "continuous feedback"
            ]
          }
        }
      },
      "required": [
        "employeeId",
        "feedbackMethods"
      ]
    }
  },
  {
    "name": "PerformanceFeedbackManager_provideTrainingRecommendations",
    "description": "Provides training recommendations based on feedback and analysis to help improve employee performance.",
    "parameters": {
      "type": "object",
      "properties": {
        "employeeId": {
          "description": "Unique identifier for the employee.",
          "type": "string",
          "pattern": "^[A-Za-z0-9-]+$"
        },
        "improvementAreas": {
          "description": "List of areas where improvement is needed based on feedback analysis.",
          "type": "array",
          "items": {
            "type": "string"
          }
        }
      },
      "required": [
        "employeeId",
        "improvementAreas"
      ]
    }
  }
]
```

## Instructions

1. Analyze the question and the available tools carefully.
2. Determine which tool(s) to call and with what parameters.
3. Write your answer to `/workspace/output.json` as a JSON array.

## Output Format

Write **only** a JSON array to `/workspace/output.json`. Each element is a single tool call with the function name as the key and its parameters as the value:

```json
[
  {
    "tool_name": {
      "parameter_name": "value"
    }
  }
]
```

For example, to call `search_news` with `query="AI"` and `count=5`:

```json
[{"search_news": {"query": "AI", "count": 5}}]
```

Write **ONLY** the JSON array to `/workspace/output.json`. Do not include explanation or markdown formatting inside the file.

- You should ONLY interact with the environment provided to you AND NEVER ASK FOR HUMAN HELP.
```
---
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