A
licenseNot graded
qualityC
maintenanceProvides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, Google Gemini) to prevent hallucinations and outdated code patterns in AI agents.
2 npm
6
MIT
RTFD (Read The F*****g Docs)
by aserper
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TDQS
A3.9/5.0
Scored across 27 tools
Disambiguation4/5
Most tools have distinct purposes targeting specific ecosystems (GitHub, Docker, npm, PyPI, etc.), but there is some overlap between fetch_*_docs tools and their corresponding *_metadata tools, which could cause confusion about when to use metadata vs. full docs. Additionally, get_cache_entries and get_cache_info are vague and could be conflated with other tools.
Naming Consistency4/5
The naming follows a consistent verb_noun pattern (e.g., fetch_godocs_docs, search_docker_images, get_file_content) with clear actions and targets. However, there are minor deviations like crates_metadata (plural noun) vs. docker_image_metadata (singular noun) and inconsistent use of underscores in compound terms (e.g., github_code_search vs. search_gcp_services).
Tool Count3/5
With 27 tools, the count is high but justifiable given the broad scope of fetching documentation and metadata across multiple ecosystems (GitHub, Docker, npm, PyPI, GCP, Rust, Go, Zig). However, it borders on being heavy and could overwhelm users, as some tools (like get_cache_entries/info) seem peripheral to the core purpose.
Completeness5/5
The toolset provides comprehensive coverage for documentation and metadata retrieval across supported ecosystems, including search, metadata fetching, and full documentation fetching. Each ecosystem has consistent tooling (e.g., search, metadata, docs fetch), and there are no obvious gaps for the stated purpose of reading documentation from various sources.
Maintenance
ActivityInactive
ResponsivenessNo issues