youtube_getVideoDetails

THE RISK

Low Risk

Why youtube_getVideoDetails needs a policy

This tool retrieves publicly available metadata about a YouTube video. It performs a query-only operation with no ability to modify, delete, or execute actions. The blast radius of misuse is minimal — at worst, an AI agent could retrieve details about videos it shouldn't have access to, but this is a read-only information disclosure risk, not a destructive, financial, or code execution risk.

From the tool's definition Tool name is 'youtube_getVideoDetails' and description states it 'Get detailed information about a specific YouTube video' — a retrieval operation with no modification or side effects.

Documented attack patterns abuse exactly the kind of access youtube_getVideoDetails gives an agent:

POLICY

How to control youtube_getVideoDetails

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_getVideoDetails:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "youtube_getVideoDetails": {}
  }
}

youtube_getVideoDetails is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Google MCP Remote — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about youtube_getVideoDetails

What does the youtube_getVideoDetails tool do? +

Get detailed information about a specific YouTube video. It is categorised as a Read tool in the Google MCP Remote MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on youtube_getVideoDetails? +

Register the Google MCP Remote MCP server in PolicyLayer and add a rule for youtube_getVideoDetails: 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.

What risk level is youtube_getVideoDetails? +

youtube_getVideoDetails is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit youtube_getVideoDetails? +

Yes. Add a rate_limit block to the youtube_getVideoDetails 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.

How do I block youtube_getVideoDetails completely? +

Set action: deny in the PolicyLayer policy for youtube_getVideoDetails. 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.

What MCP server provides youtube_getVideoDetails? +

youtube_getVideoDetails 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.

Enforce policy on every Google MCP Remote tool call.

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.

CHECK YOUR STACK →