No user-submitted related servers found.
Scored across 11 tools
Most tools target clearly distinct concerns, and descriptions actively disambiguate overlapping clusters (e.g. leaderboard vs recommendations vs global_index, and provider_status vs incidents vs drift_status). There is some residual overlap among the three 'model quality' tools and the three 'health' tools, but each states a specific use case that keeps selection reliable.
Nine tools follow a clean get_<noun> read-only convention (get_leaderboard, get_model, get_incidents, etc.), and the two router tools use action verbs (preview_route, ask_router) that correctly signal they perform a route/action. The mix is minor and semantically motivated rather than chaotic.
Eleven tools is well within the sweet spot for a model-intelligence service, and each maps to a distinct data surface (status, leaderboard, model detail, usage, history, drift, incidents, recommendations, index, routing preview, routing). No tool feels redundant or padded.
The surface covers the full lifecycle well: discovery (leaderboard/model), health (status/incidents/drift), trends (history/global_index), guidance (recommendations), usage/quota, and both dry-run and live routing. Minor gaps like an explicit model search-by-name or head-to-head compare tool exist but are workable via the leaderboard and get_model.
