generate_image · Crazyrouter MCP: Risk & Policy

WHAT IT DOES

What generate_image does on Crazyrouter

AI agents invoke generate_image to trigger actions in Crazyrouter. 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_image needs a policy

This tool executes an external operation (image generation) via a third-party service. It is not a simple read/query, nor does it directly delete data or move money. It triggers computation and potentially consumes API credits/quota on the Crazyrouter platform. Severity is medium because misuse could result in unwanted API usage or generation of inappropriate content, but blast radius is limited.

From the tool's definition 'Generate images using AI models via Crazyrouter' — triggers an external AI image generation operation via a third-party API

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_image Rate-limited

generate_image 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_image": {
      "limits": [
        {
          "counter": "generate_image_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 Crazyrouter, so you can run agents against it safely.

FAQ

Questions about generate_image

What does the generate_image tool do? +

Generate images using AI models via Crazyrouter. Supports DALL-E 3, Midjourney, Flux, Stable Diffusion, and more. It is categorised as a Execute tool in the Crazyrouter 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_image? +

Register the Crazyrouter MCP server in PolicyLayer and add a rule for generate_image: 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 Crazyrouter. Nothing to install.

What risk level is generate_image? +

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

Can I rate-limit generate_image? +

Yes. Add a rate_limit block to the generate_image 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_image completely? +

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

generate_image is provided by the Crazyrouter MCP server (xujfcn/crazyrouter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.