youtube_rate_video

Rate a YouTube video (like, dislike, or remove rating)

SERVERScopeGate SOURCEhttps://mcp.scopegate.cloud/{api_key}

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-alifanov-scopegate/youtube-rate-video.md

WHAT IT DOES

What youtube_rate_video does on ScopeGate

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

RISK

Why youtube_rate_video is rated Medium

This tool modifies a user's rating on a YouTube video, which is a reversible write action. Ratings can be changed or removed, so it is not destructive. The blast radius is medium since a misused agent could like/dislike videos on behalf of the user, affecting their account's interaction history, but it has no financial or irreversible consequences.

From the tool's definition Rate a YouTube video (like, dislike, or remove rating)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs youtube_rate_video safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ScopeGate, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For youtube_rate_video, this is the rule to start with:

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.

The button opens the PolicyLayer dashboard: create your workspace, connect ScopeGate, apply this rule, and every youtube_rate_video call is checked against it from then on.

FAQ

Questions about youtube_rate_video

What does the youtube_rate_video tool do? +

Rate a YouTube video (like, dislike, or remove rating). It is categorised as a Write tool in the ScopeGate 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 ScopeGate 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 ScopeGate. 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 ScopeGate MCP server (https://mcp.scopegate.cloud/{api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on ScopeGate, and thousands of servers like it.

This server

All 385 ScopeGate tools →

Across the catalogue

generate_video_title on YouTube MCP Server →add_video on Mcptube Vision → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →