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praveenc

llmstxt-doc-search

by praveenc

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    • A
      license
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      quality
      D
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      Aggregates documentation from multiple sources (llms.txt format or web scraping) and provides semantic search capabilities using vector embeddings and hybrid search for each documentation source.
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    • A
      license
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      quality
      C
      maintenance
      Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.
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    • A
      license
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      quality
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      Enables agents to discover the llms.txt index covering any site, fetch its linked documentation pages as markdown, and search across parsed indexes by section heading, link title, and notes.
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    TDQS

    A4.1/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool serves a distinct role: orientation, listing sources, searching, fetching content, and adding/removing/refreshing sources. There is no overlap in purpose, so an agent can easily choose the right tool.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern (list_doc_sources, search_docs, fetch_doc, add_doc_source, etc.). The exception is docs_home, which is a noun identifier, and there are minor singular/plural inconsistencies (doc vs docs), but the overall style is consistent.

    Tool Count5/5

    Seven tools is well-scoped for a documentation search server, covering both source management and retrieval operations without unnecessary bloat.

    Completeness5/5

    The set provides full lifecycle coverage: add/list/remove/refresh sources, search across them, and fetch full content. No obvious missing operations for the stated purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues