starwell-mcp
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TDQS
Scored across 11 tools
Each tool targets a distinct resource or action: source/dataset discovery, series search, metadata, observations, summary stats, monitor lifecycle, and two analysis tiers. The adjacent `answer` and `deep_analysis` are explicitly differentiated by latency and report depth, so an agent should not confuse them.
Most tools follow a clean verb_noun structure (`list_sources`, `get_series`, `create_monitor`, `delete_monitor`). The two flagship tools, `answer` and `deep_analysis`, deviate from that pattern, but the names remain self-descriptive and the mixed style is not chaotic.
Eleven tools is well within the ideal range for this service and each earns its place: discovery, retrieval, stats, monitors, and analysis are all covered without redundancy. The count feels neither thin nor bloated.
The surface covers the full workflow an agent needs: search and list data sources/datasets, fetch series metadata and observations, compute summary statistics, create/list/delete monitors, and run one-shot or deep analyses. There are no dead ends for the stated purpose of serving official statistics.