bahatanong
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- FlicenseAqualityBmaintenanceEnables language models to query a clinical relational database through a small set of validated, row-capped tools, with evaluation of answerability and data leakage.4-
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- FlicenseNot gradedqualityCmaintenanceEnables enterprise SaaS support teams to get retrieval-augmented answers from indexed support documentation and to run natural-language questions as SQL queries against a support PostgreSQL database. It returns answers with source references and exposes the generated SQL alongside its results, with optional tracing and evaluation.-
- FlicenseNot gradedqualityCmaintenanceEnables natural-language querying of PostgreSQL databases with schema grounding and self-correcting error recovery. Provides a live audit trace and verifies results through exploratory decomposition and empty-result sanity checks.-
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TDQS
Scored across 5 tools
Each tool targets a clearly distinct concern: run_sql executes queries, get_schema returns metadata, search_briefs finds briefs semantically, get_brief retrieves one brief by pcode, and glossary_lookup defines terms. There is no meaningful overlap between these operations.
Four tools follow a verb_noun pattern: run_sql, get_schema, search_briefs, get_brief. glossary_lookup is the outlier, since it reads as noun_verb rather than lookup_glossary, but the naming is otherwise consistent and all use snake_case.
Five tools is a well-scoped size for a domain combining queryable atlas views, brief retrieval/search, and glossary references. Each tool provides a distinct capability without redundancy or unnecessary surface area.
The core workflows are covered: schema discovery, data querying, brief search, brief retrieval, and term definition. A minor gap is that there is no direct way to enumerate all pcode values or list all briefs, though search_briefs and get_schema can help agents work around this.