agc-analytics-mcp
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TDQS
Scored across 13 tools
Each tool targets a reasonably distinct output, and descriptions explicitly steer choices (e.g. raw vs summary crash, list vs insights for reviews). However, there is genuine layering overlap: agc_crash_metric/agc_crash_summary query the same endpoint, agc_reviews_list/agc_review_insights/agc_ratings_summary fetch overlapping review data, and the digest tools re-aggregate the same sources, so an agent could occasionally misselect.
Every tool shares the agc_ prefix and snake_case, which is highly predictable. The internal verb/noun ordering is slightly loose (agc_list_apps vs agc_report_export vs agc_crash_metric), but the convention is clear and readable throughout.
13 tools sit squarely in the well-scoped 3-15 band, and each occupies a distinct role (auth, discovery, export, trend, crash, reviews, digests, passthrough). No tool feels redundant or bloated for the analytics scope.
Coverage of the read-only AGC analytics domain is strong: apps, downloads, installs, failures, users/retention, IAP/coupons, crashes, ratings and reviews, plus daily/weekly rollups and a generic passthrough fallback. Write operations (reply, publish, upload) are deliberately excluded, which is a defensible but real boundary.