AI agents call search_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 performs a query/search operation to retrieve channel information from YouTube. It has no side effects—it only reads and returns data about existing channels. It does not create, modify, delete, or execute any operations.
From the tool's definition Tool name is 'search_channel' and description states 'Busca canal en YouTube' (Search channel on YouTube). This is a search operation that retrieves information about YouTube channels without modifying, deleting, or executing operations.
Documented attack patterns abuse exactly the kind of access search_channel gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YouTube MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for search_channel:
{
"version": "1",
"default": "deny",
"tools": {
"search_channel": {}
}
}search_channel is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Busca canal en YouTube. 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 search_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.
search_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 search_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 search_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.
search_channel is provided by the YouTube MCP Server MCP server (0gis0/miduconf-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YouTube MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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3 YouTube MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.