# Supported Metrics

## Supported Metrics

### Core Metrics

#### 1. Goal Decomposition Efficiency

Measures how effectively an agent breaks down complex tasks.

```python
exe.evaluate(metric_list=['goal_decomposition_efficiency'])
```

**Configuration Options:**

```python
config = {
    "model": "gpt-4o-mini",
}
```

#### 2. Goal Fulfillment Rate

Assesses the success rate of achieving defined objectives.

```python
exe.evaluate(metric_list=['goal_fulfillment_rate'])
```

**Configuration Options:**

```python
config = {
    "model": "gpt-4o-mini",
}
```

#### 3. Tool Call Correctness Rate

Evaluates the accuracy of tool usage.

```python
exe.evaluate(metric_list=['tool_call_correctness_rate'])
```

**Metadata Example:**

```python
metadata = {
    "tools": [
        {
            "name": "calculator",
            "expected_usage": ["multiplication", "division"]
        }
    ]
}
```

#### 4. Tool Call Success Rate

Measures the reliability of tool executions.

```python
exe.evaluate(metric_list=['tool_call_success_rate'])
```

### Using Multiple Metrics

```python
# Evaluate multiple metrics together
exe.evaluate(
    metric_list=[
        'goal_decomposition_efficiency',
        'goal_fulfillment_rate',
        'tool_call_correctness_rate',
        'tool_call_success_rate'
    ]
)
```


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://agentneo.raga.ai/evaluation-and-metrics/supported-metrics.md?ask=<question>
```

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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.