generate_video_highlights · YT-NINJA MCP: Risk & Policy

WHAT IT DOES

What generate_video_highlights does on YT-NINJA

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

WHY IT NEEDS A POLICY

Why generate_video_highlights needs a policy

Generating highlights creates new data objects that are stored or output, making it a Write operation rather than a Read operation (which would only retrieve existing data). While the operation itself is reversible and doesn't destructively modify source content, it does create/generate new artifacts.

From the tool's definition Tool performs 'Generate AI-powered video highlights' which creates new content derived from video data. This is a creation operation that modifies or produces new data artifacts (highlights), similar to write operations that transform and store new…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_video_highlights Rate-limited

generate_video_highlights 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": {
    "generate_video_highlights": {
      "limits": [
        {
          "counter": "generate_video_highlights_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 YT-NINJA, so you can run agents against it safely.

FAQ

Questions about generate_video_highlights

What does the generate_video_highlights tool do? +

Generate AI-powered video highlights. It is categorised as a Write tool in the YT-NINJA MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_video_highlights? +

Register the YT-NINJA MCP server in PolicyLayer and add a rule for generate_video_highlights: 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 YT-NINJA. Nothing to install.

What risk level is generate_video_highlights? +

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

Can I rate-limit generate_video_highlights? +

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

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

generate_video_highlights is provided by the YT-NINJA MCP server (satyamkumar420/yt-ninja-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.