gho-mcp
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TDQS
Scored across 15 tools
compare_countries and get_indicator_data overlap heavily—both fetch observations for one indicator with country/region/income filters, year ranges, sex, and dimension filters—differing mainly in multi-country support. get_indicator_data_raw is clearly distinct as raw OData, and discovery tools are mostly distinct, but the two friendly data-fetch tools create real selection ambiguity.
Most tools follow a clear verb_noun pattern (list_dimensions, get_indicator_metadata, search_indicators, resolve_country_group_membership). A few nouns like topics_index and country_profile, plus compare_countries, deviate slightly, but there is no mixed casing or unpredictable verb style.
15 tools is within the ideal range and covers discovery, metadata, retrieval, and raw access. The count is slightly inflated by the get_indicator_data vs compare_countries overlap, so not every tool feels strictly necessary, but the overall scope is manageable.
For a read-only health data API, the surface is complete: indicator discovery, dimension introspection, country/group resolution, metadata, friendly and raw data access, and a multi-indicator country profile are all present. No obvious dead ends exist; even advanced queries have an escape hatch via raw OData.