data/processed/RQ1/EmailResponder-MCP/README.md

EmailResponder-MCP Evaluation Tools

Evaluation scripts for analyzing model performance on the EmailResponder-MCP task.

Scripts

evaluate_success.py

Calculates success rates for each model based on execution logs.

python evaluate_success.py

Outputs:

• success-finish_detailed_results.json - Detailed results per session
• success-finish_rate.csv - Summary statistics

evaluate_trajectory.py

Evaluates trajectory metrics comparing actual execution paths against reference trajectory.

python evaluate_trajectory.py --config reference_trajectory.yaml --output evaluation_results.csv

Metrics:

• Exact match
• In-order match
• Any-order match
• Precision / Recall
• Single-tool use
• Path diversity (unique_path_ratio, path_entropy)

analyze_retry_patterns.py

Analyzes retry patterns and error distributions across models.

python analyze_retry_patterns.py

Outputs:

• retry_analysis.json - Detailed retry analysis
• retry_summary.csv - Retry statistics summary
• error_by_agent.csv - Error counts by agent

Configuration

Edit reference_trajectory.yaml to customize:

• Reference trajectory (ground truth)
• Target tools for single-tool use metric
• Models to evaluate
• Extraction types (SPAN, Chain, AGENT, LLM, Tool)

Requirements

• Python 3.7+
• pandas
• pyyaml