Get model files and download URLs.
AI agents call get_model_artifacts 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 or queries model artifact information and provides download URLs without performing any side effects, modifications, or destructive operations. It fits the Read category as a straightforward data retrieval function. Severity is low because misuse would only expose or reveal existing model artifacts without enabling further malicious actions directly through this tool.
From the tool's definition Tool name 'get_model_artifacts' and description 'Get model files and download URLs' indicate retrieval of data with no modification, deletion, or execution.
Documented attack patterns abuse exactly the kind of access get_model_artifacts 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_artifacts:
{
"version": "1",
"default": "deny",
"tools": {
"get_model_artifacts": {}
}
}get_model_artifacts 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 files and download URLs. 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_artifacts: 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_artifacts 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_artifacts 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_artifacts. 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_artifacts 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.
Free to start. No card required.
14 Clearml tools catalogued and risk-classified — across an index of 43,000+ MCP servers.