[mcp-analysis] MCP Structural Analysis - 2026-02-04 #13700
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This discussion was automatically closed because it expired on 2026-02-11T11:18:21.545Z.
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Analyzed 15 GitHub MCP tools across multiple toolsets for response size, schema structure, and usefulness for agentic workflows. Key findings: list_releases consumes excessive context (18K tokens), while tools like list_branches, list_tags, and search_repositories provide excellent efficiency.
Full Structural Analysis Report
Executive Summary
Usefulness Ratings for Agentic Work
Schema Analysis
Response Size Analysis
Tool-by-Tool Analysis
30-Day Trend Summary
Recommendations
High-Value Tools (Rating 5/5, Efficient):
list_branches- Just 100 tokens for complete branch infolist_tags- 180 tokens for tag listingsget_commit- 400 tokens with include_diff=falsesearch_repositories- 350 tokens with minimal_output=truelist_discussions- 450 tokens for discussion listingsget_file_contents- 300 tokens for file readsContext-Efficient Pattern:
Use these tools for high-frequency operations where context preservation matters.
Tools Needing Improvement:
list_releases(18K tokens) - Consider pagination with perPage=1 or filteringlist_pull_requests(5.6K tokens) - Bloated with redundant repo data in head/baseContext-Heavy Tools (Use Sparingly):
list_releases- 18K tokens, use only when release details are essentiallist_pull_requests- 5.6K tokens due to full repo objectslist_label- 4.2K tokens for repos with many labelslist_issues- 4.8K tokens with full body textBest Practices for Agents:
Visualizations
Response Size by Toolset
Usefulness Ratings
Daily Token Trend
Size vs Usefulness
References:
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