F
licenseNot graded
qualityD
maintenanceCreates a local database of indexed technical documentation from web crawls and local files, enabling AI agents to efficiently search and retrieve documentation through MCP tools.
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opencode-docs
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TDQS
A3.7/5.0
Scored across 11 tools
Disambiguation4/5
The four add tools (url, sitemap, swagger, openapi) target distinct source types, but overlap exists between generic URL crawling and sitemap crawling, and between Swagger UI and OpenAPI JSON imports. Descriptions clarify the intended use, but an agent may still hesitate when both could work.
Naming Consistency5/5
All tools share the 'docs_' prefix and use consistent snake_case, with predictable forms like docs_add_*, docs_list, docs_search, docs_read, docs_update, docs_remove. No mixing of conventions (e.g., camelCase) occurs.
Tool Count5/5
11 tools is well within the ideal 3-15 range. Each tool covers a distinct operation in documentation ingestion, management, or retrieval, with no obvious redundancy.
Completeness4/5
Core lifecycle operations are present: add from multiple sources, list, search, read, update, remove, preview, and auth management. Minor gaps include no page-level deletion (only source removal) and no credential editing, but these are workaroundable.
Maintenance
ActivityInactive
ResponsivenessNo issues