Get detailed metadata for a YouTube video: title, description, channel, duration, view/like/comment counts, tags, category, thumbnails, and more.
AI agents call get_video_metadata to retrieve information from YouTube MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns publicly available video metadata without any side effects. It performs data retrieval similar to sibling tools like get_channel_info and get_transcript. No write, execute, destructive, or financial operations are possible. The low severity reflects minimal risk even if an AI agent calls it unexpectedly, as it only exposes public YouTube information.
From the tool's definition Tool retrieves 'detailed metadata for a YouTube video: title, description, channel, duration, view/like/comment counts, tags, category, thumbnails' — all read-only data extraction with no capability to modify, delete, or execute operations.
Attacks that exploit this kind of access
Get detailed metadata for a YouTube video: title, description, channel, duration, view/like/comment counts, tags, category, thumbnails, and more. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for get_video_metadata: 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 MCP Server. Nothing to install.
get_video_metadata is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_video_metadata 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.
Set action: deny in the PolicyLayer policy for get_video_metadata. 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.
get_video_metadata is provided by the YouTube MCP Server MCP server (wynandw87/claude-code-youtube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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