feature-separate-batch-eval-mcp
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TDQS
Scored across 5 tools
Each tool targets a distinct action: status (list cohorts), tag (assign records), check (validate one cohort), run (execute network eval), insights (list persisted results). Status and check both touch 'readiness' and status/insights both list things, which introduces mild overlap, but descriptions keep them separable.
Every tool shares the consistent 'feature_separate_batch_eval_' prefix followed by a short suffix, forming a predictable pattern. Minor deviation in that tag/check/run are verbs while status/insights are nouns, but overall highly consistent.
Five tools is a reasonable, well-scoped set for a batch-evaluation workflow (readiness, tagging, validation, execution, insights). Slightly lean but each tool has a clear role without redundancy.
The core lifecycle (list readiness, assign cohorts, validate, run, retrieve insights) is covered, but there is no way to modify/remove cohort assignments or clear/export persisted insights, leaving some dead ends.