MDA DB MCP
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TDQS
Scored across 14 tools
Although several tools touch exploration (find_variables, search_metadata, list_tables, describe_table), the descriptions explicitly delineate boundaries—e.g. find_variables searches the semantic harmonization layer while search_metadata does exact substring matching on physical structure. Hierarchical listers (schemas/tables/surveys/sections) and the stats/plot pair are clearly distinct. No two tools appear interchangeable.
Almost all names follow a clean verb_noun snake_case pattern (describe_table, run_query, list_surveys, find_variables, plot_variable, search_metadata, rebuild_metadata_index). Only variable_stats and metadata_index_status deviate into noun_noun form, but they read consistently as 'X_stats'/'X_status' queries and cause no confusion.
14 tools sit comfortably in the well-scoped range for a rich survey-microdata domain. Each tool maps to a distinct workflow stage—discovery, inspection, query, analysis, documentation, index maintenance—so nothing feels padded or redundant.
The surface covers discovery (schemas, tables, surveys, sections, variables), inspection (describe_table, sample_rows), querying (run_query), analysis (variable_stats, plot_variable), authoritative docs (read_guide) and index management, which is strong lifecycle coverage. Minor gaps remain—no result export/download or crosstab/join helpers—but agents can work around these with run_query.