OP3 MCP
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TDQS
Scored across 22 tools
Most tools target clearly distinct analytical questions, and the descriptions do heavy lifting to explain why each exists. However, there is real overlap: op3_app_share and op3_benchmark_apps both report a show's app mix (one adds a global index), op3_get_show with include_episodes duplicates op3_list_episodes, and the three download tools (show/episode/query) sit close together, though the escape-hatch framing of op3_query_downloads helps.
All names share a uniform op3_ prefix and snake_case, so they scan consistently. The style mixes verb-led names (get_show, resolve_show, list_episodes, compare_shows, verify_prefix, query_downloads) with noun-phrase names (download_trend, listening_patterns, show_downloads, audience_summary, geography), which is a minor deviation but still predictable and readable.
22 tools is on the heavy side, but each maps to a genuinely distinct analytics question (retention, overlap, geography, device, apps, curves, verification). A couple could arguably be merged (app_share vs benchmark_apps, get_show's episode flag vs list_episodes), so it is slightly over-scoped rather than bloated.
For a read-only podcast analytics domain, the surface is broad: identity resolution, show/episode lookup, download and audience metrics, retention, geography, app/device breakdowns, raw queries, and a prefix-verification tool that addresses the common zero-data failure. Write operations are absent but out of scope for an analytics server, so coverage is nearly complete with only minor consolidation gaps.