pubdata-mcp
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TDQS
Scored across 5 tools
Each tool has a clear, distinct purpose: listing datasets, describing schemas, running SQL queries, computing price statistics, and calculating correlations. No overlap or ambiguity.
All tools use consistent snake_case naming with verb-first patterns (list_datasets, describe_schema, query_sql, price_stats, correlate). The single verb 'correlate' fits the pattern.
Five tools cover the core functionality of data discovery, schema exploration, custom queries, and common analytics. This is a well-scoped set for a data mart server.
The tool set covers essential workflows: discover (list_datasets), understand (describe_schema), query (query_sql), and two analytics helpers. Minor gaps like missing aggregation functions, but overall complete for the intended domain.