Low Risk

list_models

List available models with filtering.

How to control list_models ↓

What list_models does on Clearml

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

Low Risk

Why list_models needs a policy

This tool queries and retrieves a list of models with optional filters applied. It performs no side effects—no data is created, modified, deleted, or executed. The 'list' operation is a standard read-only action consistent with the Read category.

From the tool's definition Tool name 'list_models' and description 'List available models with filtering' indicate retrieval of existing model information without modification or deletion.

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

How to control list_models

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

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

list_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 Clearml — 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.
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Related tools and policies

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Questions about list_models

What does the list_models tool do? +

List available models with filtering. It is categorised as a Read tool in the Clearml MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_models? +

Register the Clearml MCP server in PolicyLayer and add a rule for list_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 Clearml. Nothing to install.

What risk level is list_models? +

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

Can I rate-limit list_models? +

Yes. Add a rate_limit block to the list_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_models completely? +

Set action: deny in the PolicyLayer policy for list_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_models? +

list_models is provided by the Clearml MCP server (prassanna-ravishankar/clearml-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Clearml tool call.

Start from Clearml, 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.

14 Clearml tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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