youtube_rate_video · Youtube MCP: Risk & Policy

WHAT IT DOES

What youtube_rate_video does on Youtube

AI agents use youtube_rate_video to create or update resources in Youtube — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Youtube environment.

WHY IT NEEDS A POLICY

Why youtube_rate_video needs a policy

This tool modifies a user's rating on a video (like/dislike/remove), which is a reversible write action. Ratings can be changed or removed at any time, so it is not destructive. The blast radius is low since it only affects the authenticated user's rating on a single video.

From the tool's definition Like, dislike, or remove your rating from a video. Calls videos.rate.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

youtube_rate_video Rate-limited

youtube_rate_video stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "youtube_rate_video": {
      "limits": [
        {
          "counter": "youtube_rate_video_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Youtube, so you can run agents against it safely.

FAQ

Questions about youtube_rate_video

What does the youtube_rate_video tool do? +

Like, dislike, or remove your rating from a video. Calls videos.rate. The rating applies to the authenticated user. It is categorised as a Write tool in the Youtube MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on youtube_rate_video? +

Register the Youtube MCP server in PolicyLayer and add a rule for youtube_rate_video: 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. Nothing to install.

What risk level is youtube_rate_video? +

youtube_rate_video is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit youtube_rate_video? +

Yes. Add a rate_limit block to the youtube_rate_video 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_rate_video completely? +

Set action: deny in the PolicyLayer policy for youtube_rate_video. 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_rate_video? +

youtube_rate_video is provided by the Youtube MCP server (tuitamogamer-gpt/youtube-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.