ato-mcp
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TDQS
Scored across 7 tools
Each tool has a clear role: discovery, metadata, raw querying, latest observations, top-N ranking, and aggregation. The only minor overlap is between get_data and latest for register-shaped datasets, but the descriptions and examples sufficiently distinguish them.
Most tools follow a verb_noun pattern (list_curated, search_datasets, describe_dataset, get_data). The exceptions are latest, top_n, and stats, which are terse noun/adjective-style names, creating a slight inconsistency but not confusion.
Seven tools is well-scoped for a data query server: discovery, schema description, retrieval, and common analytical shortcuts are each represented. No redundant tools and no sign of unnecessary bulk.
The tool surface covers the full workflow: finding datasets, understanding their schemas, pulling data, getting recent values, ranking, and aggregating. There are no obvious dead ends for common analytical queries on curated ATO/ACNC data.