generate_batch · GPT Image MCP Server MCP: Risk & Policy

WHAT IT DOES

What generate_batch does on GPT Image MCP Server

AI agents invoke generate_batch to trigger actions in GPT Image MCP Server. 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 generate_batch needs a policy

This tool triggers multiple external API calls to OpenAI's image generation service in batch, executing operations that incur API costs and computational resources. It is not purely a write operation (it generates/creates images via an external AI model execution). The batch nature amplifies the blast radius — an AI agent could trigger many expensive API calls simultaneously, making severity high.

From the tool's definition Generate multiple images at once with different parameters

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_batch Rate-limited

generate_batch 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": {
    "generate_batch": {
      "limits": [
        {
          "counter": "generate_batch_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 GPT Image MCP Server, so you can run agents against it safely.

FAQ

Questions about generate_batch

What does the generate_batch tool do? +

Generate multiple images at once with different parameters. It is categorised as a Execute tool in the GPT Image MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generate_batch? +

Register the GPT Image MCP Server MCP server in PolicyLayer and add a rule for generate_batch: 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 GPT Image MCP Server. Nothing to install.

What risk level is generate_batch? +

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

Can I rate-limit generate_batch? +

Yes. Add a rate_limit block to the generate_batch 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_batch completely? +

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

generate_batch is provided by the GPT Image MCP Server MCP server (labeveryday/gpt-image-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.