OpenPapers
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TDQS
Scored across 37 tools
Several tools have overlapping purposes, such as extract_paper_facts vs extract_paper_claims vs verify_claim, and extract_training_parameters vs extract_training_recipe vs extract_training_recipe_from_url. The compare_* family and research_method/research_topic/build_research_report also blur boundaries, though descriptions provide some differentiation.
Most tools follow a clear snake_case verb_noun pattern (create_collection, list_collections, add_paper_to_collection, etc.). However, vector_search is noun-first rather than verb-first, and research_method/research_topic read as noun phrases rather than clear verb actions, creating minor inconsistency.
With 37 tools, the surface area is well beyond the typical 3–15 scope and feels heavy for a single MCP server. While each tool has a narrow role, the large count risks cognitive overload and suggests excessive granularity.
The tool set covers a wide range of research-paper workflows: retrieval, extraction, citation management, comparison, collections, repository/model/dataset lookup, and research-pack import/export. Minor gaps exist around paper updating/deletion and more explicit claim-verification workflows, but the core domain is well represented.