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[mcp-analysis] MCP Structural Analysis - 2026-10-02 #65012
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This discussion was automatically closed because it expired on 2026-10-03T12:02:34.158Z.
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Overview
Day 19 of the rolling MCP structural analysis. 10 representative tools tested across all available toolsets plus the injected workflow-context block. Average usefulness held at 3.3/5, with the standout finding being a confirmed recurring failure (3rd occurrence in 19 days) when fetching README.md without the fields-filtered size pre-check — and a new integrity-policy filtering case on
list_issuesthat silently returned zero data.Key Metrics
github_context/list_workflows: 5/5get_file_contents: 1/5Full Structural Analysis Report
Usefulness Ratings for Agentic Work
Schema Analysis
Response Size Analysis
Tool-by-Tool Analysis (Today)
30-Day Trend Summary
Recommendations
github_context(free),list_workflows(via mcpscripts wrapper — always prefer it over the built-in snake_case-onlyper_pagevariant),list_pull_requests,search_code(when it doesn't hit rate limits).get_file_contentskeeps failing on large files (3/19 days now) — this is a confirmed recurring issue, not noise. The existing AGENTS.md large-file guard (check size via a fields-filtered directory listing before reading) works when followed; the failures correlate with skipping that check.list_issuessurfaced a new failure mode today: an integrity-policy filter silently zeroed out the only match with no actionable signal in the array itself — agents need to watch for the separate[Filtered]notice text, not just the returned array.list_code_scanning_alertsstill pays a ~1900-char-per-alert tax for duplicatedrule.helpboilerplate across alerts sharing the samerule.id— unaddressed since first observed.github_context(85 tokens),list_workflows(172 tokens),list_pull_requests(45 tokens).get_file_contentson unfiltered large files (12.5k tokens, when it doesn't fail outright) andlist_code_scanning_alerts(3.15k tokens, driven by repeated help text).Visualizations
Response Size by Toolset
Usefulness Ratings
Daily Token Trend
Size vs Usefulness
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