A
licenseNot graded
qualityD
maintenanceAggregates 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.
68 npm
MIT
llmstxt-doc-search
by praveenc
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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