ya-metrics-mcp
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TDQS
Scored across 31 tools
Most tools have clearly distinct purposes, but some overlap exists (e.g., get_browsers_report vs get_device_analysis both deal with browser information). Descriptions generally help differentiate them.
Naming is mixed: most tools use get_<noun>, but there are list_ and compare_ prefixes, and anomalies like sources_search_phrases. The pattern is inconsistent but still readable.
With 31 tools, the surface is too large for a focused analytics server. Many tools are granular, increasing risk of agent misselection and making the tool set feel bloated.
Core analytics areas are well-covered: traffic sources, content, e-commerce, goals, devices, geography. Minor gaps exist (e.g., no funnel or path analysis), but the set is largely complete for standard reporting.