MCP Analytics
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TDQS
Scored across 19 tools
Most tools are grouped by resource and action, but there is some overlap: reports_view vs reports_list vs report_cards could be confused, and datasets_read vs datasets_download may seem similar at first glance. tools_info, discover_tools, and agent_advisor also all occupy a 'help me use the system' space that requires careful reading.
The naming has a recognizable pattern for the main clusters (datasets_*, reports_*, connectors_*, tools_*), but it is not consistently applied: report_cards and module_request are noun-only, while billing and about are bare nouns. The pattern is predictable within each domain but not uniform across the server.
19 tools is on the heavy side, but the platform covers datasets, connectors, analysis tools, reports, billing, and system info, so the breadth is somewhat justified. Still, some clusters could be consolidated (e.g., reports_list vs reports_search) to reduce cognitive load.
The main workflow — upload/read datasets, query connectors, discover and run tools, and view reports — is well covered. The primary gap is the lack of delete/removal operations for datasets and reports, plus no obvious connector setup or management tools, but most core analysis workflows are supported.