ytdlp_get_video_comments

THE RISK

Low Risk

Why ytdlp_get_video_comments needs a policy

This tool queries and returns data (video comments) without side effects. It does not create, modify, delete, or execute operations. The extraction is informational only, making it a Read category tool with low severity risk.

From the tool's definition Tool name and description indicate it 'Extract comments from a video' and 'retrieves comments from videos' — purely a retrieval operation with no modification, deletion, or execution of external commands.

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

POLICY

How to control ytdlp_get_video_comments

PolicyLayer is an MCP gateway — it sits between your AI agents and YouTube MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ytdlp_get_video_comments:

policy.json

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

ytdlp_get_video_comments 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 YouTube MCP Server — 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

Related tools and policies

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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 ytdlp_get_video_comments

What does the ytdlp_get_video_comments tool do? +

Extract comments from a video in JSON or AI-friendly Markdown format. This tool retrieves comments from videos (primarily YouTube) using yt-dlp. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ytdlp_get_video_comments? +

Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for ytdlp_get_video_comments: 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 ytdlp_get_video_comments? +

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

Can I rate-limit ytdlp_get_video_comments? +

Yes. Add a rate_limit block to the ytdlp_get_video_comments 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 ytdlp_get_video_comments completely? +

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

ytdlp_get_video_comments is provided by the YouTube MCP Server MCP server (kevinwatt/yt-dlp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every YouTube MCP Server tool call.

Start from YouTube MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →