abliteration-mcp
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TDQS
Scored across 18 tools
Most tools have clearly distinct resource+action purposes (list/get/search pairings across authors, models, methods, datasets, indices). The main overlap is the deletion family (list_delisted vs list_deletions vs get_deletions_summary) and the download pair (get_download_anomalies vs get_download_history), but the descriptions differentiate them well enough for an agent to choose correctly.
Consistent verb_noun convention throughout: list_*, get_*, search_* across all 18 tools. Minor adjective-as-noun case in list_delisted, but it reads naturally and matches the pattern. No camelCase or style mixing.
18 tools is on the heavier side but each maps to a distinct route/resource of a genuinely broad data API (models, authors, methods, datasets, indices, timeline, deletions, README drifts, download anomalies). Nothing appears redundant, though it sits just above the ideal 3-15 range.
The surface covers a wide domain well: models, authors, methods, datasets, indices, timeline, delistings, deletions, README drift history, and download anomalies, with both list and detail variants. Minor gaps exist (e.g. no explicit search for authors/methods beyond list, no benchmark-only lookup), but core workflows are covered.