Search for YouTube videos based on a query.
AI agents call youtube_searchVideos to retrieve information from Google MCP Remote without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries YouTube's video database and returns results without modifying, deleting, or executing any operations. It is a straightforward read-only retrieval action. Severity is low because misuse would only expose publicly available video information, with no blast radius for data modification, financial impact, or code execution.
From the tool's definition Tool name 'youtube_searchVideos' and description 'Search for YouTube videos based on a query' indicate a search/retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access youtube_searchVideos gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google MCP Remote, and nothing reaches the server without passing your rules. This is the rule we recommend for youtube_searchVideos:
{
"version": "1",
"default": "deny",
"tools": {
"youtube_searchVideos": {}
}
} youtube_searchVideos is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for YouTube videos based on a query. It is categorised as a Read tool in the Google MCP Remote MCP Server, which means it retrieves data without modifying state.
Register the Google MCP Remote MCP server in PolicyLayer and add a rule for youtube_searchVideos: 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 Google MCP Remote. Nothing to install.
youtube_searchVideos 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_searchVideos 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_searchVideos. 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_searchVideos is provided by the Google MCP Remote MCP server (vakharwalad23/google-mcp-remote). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google MCP Remote, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Google MCP Remote tools catalogued and risk-classified — across an index of 43,000+ MCP servers.