DataSF MCP Server
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TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: get_schema retrieves metadata for a dataset, list_datasf browses datasets with filters, query_datasf executes queries, and search_datasf searches by keywords. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with 'datasf' as a common suffix (e.g., get_schema, list_datasf, query_datasf, search_datasf). This predictability enhances readability and usability across the tool set.
With 4 tools, the server is well-scoped for its purpose of interacting with San Francisco's open data portal. Each tool serves a distinct and necessary function, covering browsing, searching, querying, and schema retrieval without being overly sparse or bloated.
The tool set provides complete coverage for the domain of data exploration and querying: list_datasf and search_datasf enable dataset discovery, get_schema provides metadata for query preparation, and query_datasf allows data retrieval. There are no obvious gaps in the workflow.