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Glama

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TDQS

A4.3/5.0

Scored across 7 tools

Disambiguation4/5

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.

Naming Consistency4/5

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.

Tool Count5/5

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.

Completeness5/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues