process_video · YouTube Knowledge Base MCP: Risk & Policy

WHAT IT DOES

What process_video does on YouTube Knowledge Base MCP

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

WHY IT NEEDS A POLICY

Why process_video needs a policy

The tool appears to ingest video data and create entries in a searchable knowledge base, which constitutes reversible data creation/modification (Write category). Severity is medium because processing videos at scale could consume significant resources or store unwanted content, but the operation is reversible through deletion.

From the tool's definition Tool name 'process_video' on a server that 'Builds a searchable knowledge base from YouTube video transcripts' indicates data ingestion and storage operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

process_video Rate-limited

process_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": {
    "process_video": {
      "limits": [
        {
          "counter": "process_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 Knowledge Base MCP, so you can run agents against it safely.

FAQ

Questions about process_video

What does the process_video tool do? +

process_video. It is categorised as a Write tool in the YouTube Knowledge Base MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on process_video? +

Register the YouTube Knowledge Base MCP server in PolicyLayer and add a rule for process_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 Knowledge Base MCP. Nothing to install.

What risk level is process_video? +

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

Can I rate-limit process_video? +

Yes. Add a rate_limit block to the process_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 process_video completely? +

Set action: deny in the PolicyLayer policy for process_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 process_video? +

process_video is provided by the YouTube Knowledge Base MCP server (miandari/youtube-knowledge-base-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.