explore_library

explore_library

Server YouTube Knowledge Base MCP miandari/youtube-knowledge-base-mcp
Category Read
Risk class Low
Parameters 00 required

What explore_library does on YouTube Knowledge Base MCP

AI agents call explore_library to retrieve information from YouTube Knowledge Base MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why explore_library needs a policy

The name 'explore_library' strongly implies a read/browse operation over a local knowledge base of video transcripts. Given the server's purpose (searchable knowledge base from YouTube transcripts) and sibling tools (search, process_video, manage_source), this tool likely lists or navigates stored content. No write, execute, or destructive semantics are implied. Confidence is reduced due to empty description.

From the tool's definition Tool name 'explore_library' and server context of a YouTube knowledge base suggest browsing/listing stored video content, but the description is empty and uninformative.

Questions about explore_library

What does the explore_library tool do? +

explore_library. It is categorised as a Read tool in the YouTube Knowledge Base MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explore_library? +

Register the YouTube Knowledge Base MCP server in PolicyLayer and add a rule for explore_library: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches YouTube Knowledge Base MCP. Nothing to install.

What risk level is explore_library? +

explore_library is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit explore_library? +

Yes. Add a rate_limit block to the explore_library rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block explore_library completely? +

Set action: deny in the PolicyLayer policy for explore_library. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides explore_library? +

explore_library is provided by the YouTube Knowledge Base MCP server (miandari/youtube-knowledge-base-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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