Low Risk

list_available_models

List all available image generation models with their capabilities.

How to control list_available_models ↓

What list_available_models does on GPT Image MCP Server

AI agents call list_available_models to retrieve information from GPT Image MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why list_available_models needs a policy

This tool queries and returns metadata about available models. It has no side effects, does not execute code or commands, does not modify data, and does not involve financial transactions. It is a pure read operation that retrieves and presents information.

From the tool's definition Tool name 'list_available_models' and description 'List all available image generation models with their capabilities' indicate a retrieval operation that returns information about available models without modifying, executing, or deleting anything.

Documented attack patterns abuse exactly the kind of access list_available_models gives an agent:

How to control list_available_models

PolicyLayer is an MCP gateway — it sits between your AI agents and GPT Image MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_available_models:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_available_models": {}
  }
}

list_available_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register GPT Image MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

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Questions about list_available_models

What does the list_available_models tool do? +

List all available image generation models with their capabilities. It is categorised as a Read tool in the GPT Image MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_available_models? +

Register the GPT Image MCP Server MCP server in PolicyLayer and add a rule for list_available_models: 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 list_available_models? +

list_available_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_available_models? +

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

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

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

Enforce policy on every GPT Image MCP Server tool call.

Start from GPT Image MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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4 GPT Image MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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