Paper Search MCP
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TDQS
Scored across 57 tools
The tools are highly ambiguous due to extensive overlap across sources; for example, download_arxiv and download_semantic both download PDFs, and search_arxiv and search_semantic both search papers, making it difficult for an agent to choose the right tool without deep knowledge of each source. The descriptions clarify the source but not the functional distinction, leading to potential misselection when the agent doesn't care about the specific source.
Tool names follow a perfectly consistent verb_noun pattern throughout, with all tools using snake_case and clear prefixes like download_, read_, search_, and get_. This predictability makes it easy for an agent to understand the action and target, such as download_arxiv_paper or search_crossref.
With 57 tools, the count is extremely high for a paper search server, far exceeding the typical well-scoped range of 3-15 tools. This creates a bloated and overwhelming interface that is difficult for an agent to navigate efficiently, as many tools are redundant across sources rather than adding unique functionality.
The tool set is highly complete for the domain of paper search and retrieval, covering download, read, search, and metadata retrieval across numerous academic sources. There are no obvious gaps; the tools provide full lifecycle coverage from discovery to content extraction, including a unified search tool for convenience.