yvonneyx-ava
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TDQS
Scored across 8 tools
Each tool has a largely distinct role in a load→inspect→query→visualize→report pipeline. The only real friction is between ava_schema and ava_semantic, since ava_schema's description says it also reads existing semantic definitions, and between ava_viz and ava_artifact, though descriptions do clarify standalone chart vs report.
All eight tools share a clean ava_ prefix in snake_case, making the set predictable. The minor deviation is that some names are verbs/actions (check, query, dispose) while others are nouns (source, schema, semantic, viz, artifact), so it isn't a strict verb_noun pattern but remains readable and consistent.
Eight tools is well-scoped for a data-loading, querying, and reporting server. Every tool maps to a distinct stage of the workflow (load, check, schema, query, semantic, visualize, report, dispose) with no padding.
The lifecycle is substantially covered: source loading, schema inspection, SQL execution, semantic definitions, visualization, reporting, and disposal. Minor gaps exist around explicitly listing/finding loaded datasets or exporting raw results, but agents can work around these via queryIds and saved artifacts.