Get detailed information about a YouTube channel
AI agents call get_channel_details to retrieve information from YouTube Toolbox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves publicly available channel metadata without creating, modifying, deleting, or executing any operations. It has minimal blast radius—the worst outcome is retrieving information about an unintended channel. No financial, destructive, or execution risks are present.
From the tool's definition Tool name 'get_channel_details' and description 'Get detailed information about a YouTube channel' indicate data retrieval with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_channel_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YouTube Toolbox, and nothing reaches the server without passing your rules. This is the rule we recommend for get_channel_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_channel_details": {}
}
}get_channel_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a YouTube channel. It is categorised as a Read tool in the YouTube Toolbox MCP Server, which means it retrieves data without modifying state.
Register the YouTube Toolbox MCP server in PolicyLayer and add a rule for get_channel_details: 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 Toolbox. Nothing to install.
get_channel_details 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_channel_details 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_channel_details. 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_channel_details is provided by the YouTube Toolbox MCP server (jikime/py-mcp-youtube-toolbox). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YouTube Toolbox, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 YouTube Toolbox tools catalogued and risk-classified — across an index of 43,000+ MCP servers.