Get channel details by channel ID, handle (@username), or the authenticated user's channel.
AI agents call youtube_get_channel 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 queries and returns public or account-associated channel metadata. It has no side effects, cannot delete or modify data, and does not execute code or perform financial transactions. The blast radius is minimal—an agent using this tool can only retrieve information already accessible through the YouTube API. Classification as Read is appropriate.
From the tool's definition The tool 'Get channel details by channel ID, handle (@username), or the authenticated user's channel' retrieves channel information without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Get channel details by channel ID, handle (@username), or the authenticated user's channel. 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 youtube_get_channel: 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.
youtube_get_channel 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_channel 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_channel. 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_channel is provided by the YouTube MCP Server MCP server (pauling-ai/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.
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