Fetch full metadata for a single video by ID. Calls videos.list with parts: snippet, statistics, status, contentDetails, topicDetails, player, and liveStreamingDetails. Args - videoId (string, required): the YouTube video ID (e.g.
AI agents call youtube_get_video to retrieve information from Youtube without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves video metadata without creating, modifying, deleting, or executing any operations. It is a read-only operation that queries YouTube's API for information about a specific video. No data is changed, deleted, or used to trigger external actions.
From the tool's definition Tool fetches full metadata for a single video by ID using videos.list API call with read-only parts (snippet, statistics, status, contentDetails, topicDetails, player, liveStreamingDetails).
Attacks that exploit this kind of access
Fetch full metadata for a single video by ID. Calls videos.list with parts: snippet, statistics, status, contentDetails, topicDetails, player, and liveStreamingDetails. Args - videoId (string, required): the YouTube video ID (e.g. It is categorised as a Read tool in the Youtube MCP Server, which means it retrieves data without modifying state.
Register the Youtube MCP server in PolicyLayer and add a rule for youtube_get_video: 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. Nothing to install.
youtube_get_video 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 youtube_get_video 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 youtube_get_video. 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.
youtube_get_video is provided by the Youtube MCP server (tuitamogamer-gpt/youtube-mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →