SocialMediaManager-MCP (RQ1)
This folder contains evaluation utilities for the SocialMediaManager-MCP experiment results under RESULTS/.
Files
evaluate_trajectory.py- Parses
execution_path.mdfrom each session and computes trajectory metrics. - Outputs a CSV summary (no Markdown output).
- Parses
evaluate_success.py- Computes per-model success rate based on
metadata.json(status == "success"). - Outputs:
success_detailed_results.jsonsuccess_rate.csv
- Computes per-model success rate based on
analyze_retry_patterns.py- Analyzes retry/error patterns from
execution_path.md. - Outputs:
retry_analysis.jsonretry_summary.csverror_by_agent.csvbusiness_retry_by_agent.csv
- Analyzes retry/error patterns from
reference_trajectory.yaml- Reference (ground-truth) trajectory definition and configuration.
Usage
Run scripts from this directory.
python3 evaluate_trajectory.py --config reference_trajectory.yaml --output evaluation_results.csv
python3 evaluate_success.py
python3 analyze_retry_patterns.py