youtube_update_video · YouTube MCP Server MCP: Risk & Policy

WHAT IT DOES

What youtube_update_video does on YouTube MCP Server

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

WHY IT NEEDS A POLICY

Why youtube_update_video needs a policy

The 'update' verb strongly suggests a reversible modification operation rather than deletion or destruction. On YouTube, video updates typically modify metadata (title, description, tags, visibility settings) without irreversible consequences.

From the tool's definition Tool name 'youtube_update_video' indicates modification of video metadata or properties. No description provided; classification based on naming convention and context of sibling tools which are primarily read-focused (analytics, retention, demographics) or…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

youtube_update_video Rate-limited

youtube_update_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_update_video": {
      "limits": [
        {
          "counter": "youtube_update_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 MCP Server, so you can run agents against it safely.

FAQ

Questions about youtube_update_video

What does the youtube_update_video tool do? +

youtube_update_video. It is categorised as a Write tool in the YouTube MCP Server 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_update_video? +

Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for youtube_update_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 MCP Server. Nothing to install.

What risk level is youtube_update_video? +

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

Can I rate-limit youtube_update_video? +

Yes. Add a rate_limit block to the youtube_update_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_update_video completely? +

Set action: deny in the PolicyLayer policy for youtube_update_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_update_video? +

youtube_update_video is provided by the YouTube MCP Server MCP server (pauling-ai/youtube-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.