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Scored across 9 tools
Tools generally target distinct resources, but there is clear overlap between get_dimensions and get_dimension_values (the latter is explicitly discouraged), and between get_observations and query_observations which both fetch observations with different options. Descriptions help clarify, but an agent could still be confused about which to use.
Most tools follow a get_* verb_noun pattern (get_catalogs, get_metadata, get_dimensions). Two tools use query_* (query_datasets, query_observations), which is a minor deviation but still consistent in style. Names are readable and predictable.
With 9 tools, the server is well-scoped for a statistical data API. Each tool serves a distinct aspect of data access: catalogs, metadata, dataset search, dimensions, observations, and measures, with no unnecessary bloat.
The core workflow is covered: discover catalogs, search datasets, get dataset info, fetch dimensions, observations, and measure codes. Minor gaps include the non-functional get_dimension_values (mitigated by get_dimensions) and no explicit way to download a full dataset in one call, but agents can compose queries to achieve this.