AI agents call list_tasks 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.
The tool performs data retrieval only. It lists existing tasks with optional filtering parameters, which are classic read operations in the Read category. No data is created, modified, executed, deleted, or financial operations are involved. The blast radius is minimal—worst case, an AI agent might retrieve unwanted task information, but this causes no damage.
From the tool's definition Tool name 'list_tasks' and description 'List ClearML tasks with filters' indicate a retrieval operation with no side effects. This is a query/list operation that retrieves task information without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access list_tasks 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 list_tasks:
{
"version": "1",
"default": "deny",
"tools": {
"list_tasks": {}
}
}list_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List ClearML tasks with filters. 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 list_tasks: 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.
list_tasks 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 list_tasks 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 list_tasks. 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.
list_tasks 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.