Summary
The same three-tool docs pattern as AssemblyAI, and the filesystem query is again the reason to prefer it over search.
Search returns what a ranking function thinks you meant; a shell lets the agent ask precisely — every file mentioning a parameter, the tree under one section. Two vendors here have now shipped the same shape, which suggests it is becoming the standard way to expose documentation. Free, no account, and it declares its own read-only scope in the handshake.
What it is
HoneyHive's documentation endpoint, which answered our probe without credentials as HoneyHive AI Docs 1.0.0. It declares itself read-only and scoped to published documentation.
What you get
- search_honey_hive_ai_docs — search the knowledge base for information and code examples
- query_docs_filesystem_honey_hive_ai_docs — a read-only shell-style query against a virtual filesystem rooted at the docs
- submit_feedback — report a documentation problem, with the path, to the docs team
Requirements
None.
Setup effort
Paste a URL — add the endpoint to your client