Low Risk

get_model_info

Get detailed information about a specific model

How to control get_model_info ↓

What get_model_info does on vLLM MCP Server

AI agents call get_model_info to retrieve information from vLLM 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 get_model_info needs a policy

This tool queries and returns information about a model without modifying, deleting, or executing anything. It is a straightforward read operation with minimal security impact even if misused by an AI agent.

From the tool's definition Tool name 'get_model_info' and description 'Get detailed information about a specific model' indicate a retrieval operation with no side effects.

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

How to control get_model_info

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

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

get_model_info 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 vLLM 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 →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about get_model_info

What does the get_model_info tool do? +

Get detailed information about a specific model. It is categorised as a Read tool in the vLLM MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_model_info? +

Register the vLLM MCP Server MCP server in PolicyLayer and add a rule for get_model_info: 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 vLLM MCP Server. Nothing to install.

What risk level is get_model_info? +

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

Can I rate-limit get_model_info? +

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

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

get_model_info is provided by the vLLM MCP Server MCP server (micytao/vllm-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every vLLM MCP Server tool call.

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

Free to start. No card required.

12 vLLM MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.