UNESCO UIS Education Statistics MCP
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TDQS
Scored across 5 tools
The set splits into two parallel pipelines that do the same thing over the same ~5,000-indicator catalogue: `search`/`fetch` (Deep Research contract, id-based) and `uis_search_indicators`/`uis_get_data` (code-based data queries). Descriptions do explain the split and steer agents to `uis_*` for values, but an agent still has to decide which of two near-identical catalogue searches to call, and `fetch` vs `uis_get_data` are only distinguishable via their upstream tool.
Three tools use a clean `uis_verb_noun` convention, but `search` and `fetch` are bare generic verbs with no server prefix, so names from two different conventions coexist. The generic pair is also globally ambiguous (search what?), unlike the self-describing `uis_*` names.
Five tools is a sensible scope for a statistics catalogue server, and each has a defined role. That said, two of the five are effectively duplicates of two others, so the set is slightly padded relative to the genuine surface.
The core lifecycle is covered: discover indicators, resolve geographic codes, pull records with footnotes/provenance, and retrieve catalogue documents. Gaps are minor and mostly deliberate (no aggregation/transformation, no theme enumeration tool), but the awkward duplication of the search layer is the main structural weakness rather than a missing operation.