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Analyzed 13 GitHub MCP tools across 11 toolsets. Overall usefulness rating: 4.46/5 with 9 tools rated excellent (5/5). Most efficient tool:
get_label(38 tokens, rating 5). Context-heavy tools:list_pull_requests(3,650 tokens),list_releases(3,200 tokens), andlist_code_scanning_alerts(2,800 tokens).Full Structural Analysis Report
Executive Summary
Usefulness Ratings for Agentic Work
⭐⭐⭐⭐⭐ Excellent (Rating 5) - 9 tools
These tools provide complete, immediately actionable data with clean structure:
⭐⭐⭐⭐ Good (Rating 4) - 3 tools
Rich data but verbose, requiring supplementary calls or filtering:
⭐ Poor (Rating 1) - 1 tool
Schema Analysis
Response Size Analysis
Tool-by-Tool Analysis
30-Day Trend Summary
Key Findings
Context Efficiency Champions (High Rating, Low Tokens)
Context-Heavy Tools (High Tokens)
Optimization Opportunities
Reduce Context Usage:
minimal_output=truefor search tools (saves ~1,400 tokens)include_diff=falsefor get_commit (saves ~2,000+ tokens)perPage=1for pagination when testing (significant savings)Best Practices for Agents:
get_label,list_branches,list_tagsfor lightweight operationssearch_repositorieswith minimal_output for repo discoveryRecommendations
High-Value Tools for Agentic Work (Rating 4-5)
Recommended tools that balance usefulness and efficiency:
Tools Requiring Careful Use
These tools are useful but context-heavy. Use with pagination and filtering:
Tools to Avoid
Schema Design Insights
Excellent Patterns
Areas for Improvement
Visualizations
Response Size by Toolset
Usefulness Ratings by Toolset
30-Day Token Usage Trend
Token Size vs Usefulness Rating
Tool Comparison Heatmap
References:
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