Get model metadata and configuration.
AI agents call get_model_info 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.
This tool retrieves model metadata and configuration information without performing any modifications, deletions, or side effects. It is a straightforward data query operation. The severity is low because unauthorized access to model metadata poses minimal immediate risk compared to write or destructive operations, though in sensitive environments it could reveal architectural details.
From the tool's definition Tool name 'get_model_info' and description 'Get model metadata and configuration' indicate a retrieval operation. The verb 'get' and the focus on reading 'metadata and configuration' without any modification capability align with Read category semantics.
Documented attack patterns abuse exactly the kind of access get_model_info gives an agent:
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 get_model_info:
{
"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.
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Get model metadata and configuration. It is categorised as a Read tool in the Clearml MCP Server, which means it retrieves data without modifying state.
Register the Clearml 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 Clearml. Nothing to install.
get_model_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
get_model_info 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.
Start from Clearml, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 Clearml tools catalogued and risk-classified — across an index of 43,000+ MCP servers.