tool_video_object_edit · Open Google Image Generator MCP

WHAT IT DOES

What tool_video_object_edit does on Open Google Image Generator MCP

AI agents invoke tool_video_object_edit to trigger actions in Open Google Image Generator MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why tool_video_object_edit needs a policy

This tool executes a video transformation operation via Google Cloud Vertex AI (Veo), modifying video content by inserting or removing objects. It triggers an external cloud compute operation whose effects depend on the input arguments. While it modifies data, the primary risk is in executing an external AI pipeline with potentially significant resource consumption and irreversible transformation of video assets.

From the tool's definition 'Insert or remove an object in a video using Veo' — triggers an external AI/cloud operation that transforms video content

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

tool_video_object_edit Rate-limited

tool_video_object_edit stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tool_video_object_edit": {
      "limits": [
        {
          "counter": "tool_video_object_edit_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Open Google Image Generator MCP, so you can run agents against it safely.

FAQ

Questions about tool_video_object_edit

What does the tool_video_object_edit tool do? +

Insert or remove an object in a video using Veo. It is categorised as a Execute tool in the Open Google Image Generator MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on tool_video_object_edit? +

Register the Open Google Image Generator MCP server in PolicyLayer and add a rule for tool_video_object_edit: 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 Open Google Image Generator MCP. Nothing to install.

What risk level is tool_video_object_edit? +

tool_video_object_edit is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit tool_video_object_edit? +

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

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

tool_video_object_edit is provided by the Open Google Image Generator MCP server (miracorhan/opengoogleimagegeneratormcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.