pubmed-clinical-mcp
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TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose: building queries, checking availability, extracting PICO, fetching full text, fetching articles, finding related articles, ranking, searching (with and without full pipeline), and summarizing. No ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., build_clinical_query, fetch_pubmed_articles, summarize_evidence). No deviations or mixed conventions.
10 tools is well-scoped for a clinical PubMed assistant. Each tool serves a distinct step in the research workflow without unnecessary overlap or missing critical functionality.
The tool set covers the full clinical evidence retrieval workflow: natural language query conversion, search, article fetch, full text retrieval, PICO extraction, ranking, summarization, and related article discovery. No obvious gaps.