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Zotero Chunk RAG

by ccam80
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools are mostly distinct in purpose: get_index_stats provides collection statistics, search_papers finds specific passages, search_topic finds relevant papers by topic, and get_passage_context expands context around a passage. However, search_papers and search_topic both involve semantic search over paper content, which could cause some confusion about when to use each, though their descriptions clarify the difference (passage-level vs. paper-level results).

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structures: get_index_stats, get_passage_context, search_papers, and search_topic. The naming is predictable and readable, with no mixing of conventions or stylistic deviations.

    Tool Count4/5

    With 4 tools, the count is reasonable for a RAG-focused server, covering key operations like searching, context expansion, and statistics. It might be slightly thin for broader document management tasks (e.g., no indexing or update tools), but it's well-scoped for its apparent purpose of querying and exploring a research paper collection.

    Completeness3/5

    The toolset covers core retrieval and exploration functions (search, context expansion, stats) but has notable gaps for a full RAG or document management system. There are no tools for indexing, updating, or deleting documents, and operations like filtering by metadata beyond year are limited. This could lead to dead ends for agents needing to modify or fully manage the collection.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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