Seoul OpenData MCP
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TDQS
Scored across 19 tools
Most tools target distinct domains (subway, parking, weather, etc.), but get_weather and get_air_quality overlap on fine dust data, and get_population vs get_living_population could be confused despite clarifying descriptions. Overall, boundaries are clear enough with the provided intent examples.
All tools follow a consistent verb_noun pattern (get_, search_, find_, call_). Verbs are semantically appropriate and nouns are specific, making the set predictable and easy to navigate.
19 tools is slightly heavy but well-justified for a comprehensive city data server covering real-time, historical, and catalog-based access. The count is within a manageable range and each tool has a distinct role, though a few could arguably be consolidated.
The tool surface covers a wide range of Seoul open data domains: place resolution, real-time congestion, weather, transport, commercial activity, cultural events, and administrative statistics. The catalog tools (search_dataset, get_dataset_spec, call_dataset) provide a fallback for any dataset without a dedicated tool, ensuring no dead ends.