youtube_mark_comment_as_spam · Youtube MCP: Risk & Policy

WHAT IT DOES

What youtube_mark_comment_as_spam does on Youtube

AI agents use youtube_mark_comment_as_spam 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_mark_comment_as_spam needs a policy

This tool modifies metadata associated with a comment (marking it as spam) rather than deleting or destroying content. The action is reversible—YouTube flags comments for review, and moderators can clear spam flags. It does not permanently delete data, execute arbitrary code, or involve financial transactions.

From the tool's definition Tool description states it 'Marks a comment as spam, flagging it for review by YouTube' — this is a state-change operation on existing data (the comment's spam status) that is reversible through YouTube's moderation interface.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

youtube_mark_comment_as_spam Rate-limited

youtube_mark_comment_as_spam 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_mark_comment_as_spam": {
      "limits": [
        {
          "counter": "youtube_mark_comment_as_spam_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_mark_comment_as_spam

What does the youtube_mark_comment_as_spam tool do? +

Marks a comment as spam, flagging it for review by YouTube. 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_mark_comment_as_spam? +

Register the Youtube MCP server in PolicyLayer and add a rule for youtube_mark_comment_as_spam: 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_mark_comment_as_spam? +

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

Can I rate-limit youtube_mark_comment_as_spam? +

Yes. Add a rate_limit block to the youtube_mark_comment_as_spam 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_mark_comment_as_spam completely? +

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

youtube_mark_comment_as_spam 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.