analyze_image_with_openai · Demo MCP: Risk & Policy

WHAT IT DOES

What analyze_image_with_openai does on Demo

AI agents invoke analyze_image_with_openai to trigger actions in Demo. 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 analyze_image_with_openai needs a policy

This tool sends image data to an external OpenAI API endpoint, triggering an external operation with potential data exfiltration risks. It is not a pure read (it makes outbound API calls transmitting file contents to a third party), so it falls under Execute. Misuse could expose sensitive image content to external services, giving it high severity.

From the tool's definition Analyze an image file with an OpenAI vision-capable model

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_image_with_openai Rate-limited

analyze_image_with_openai 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": {
    "analyze_image_with_openai": {
      "limits": [
        {
          "counter": "analyze_image_with_openai_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 Demo, so you can run agents against it safely.

FAQ

Questions about analyze_image_with_openai

What does the analyze_image_with_openai tool do? +

Analyze an image file with an OpenAI vision-capable model. It is categorised as a Execute tool in the Demo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_image_with_openai? +

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

What risk level is analyze_image_with_openai? +

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

Can I rate-limit analyze_image_with_openai? +

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

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

analyze_image_with_openai is provided by the Demo MCP server (penguinszp001/mcp-server-demo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.