create_job · Cloudera Machine Learning (CML) MCP Server MCP

WHAT IT DOES

What create_job does on Cloudera Machine Learning (CML) MCP Server

AI agents use create_job to create or update resources in Cloudera Machine Learning (CML) MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cloudera Machine Learning (CML) MCP Server environment.

WHY IT NEEDS A POLICY

Why create_job needs a policy

Based on the tool name and server context (CML server that manages jobs), 'create_job' most likely creates a new job/scheduled task in Cloudera Machine Learning. This is a Write operation — creating a new job resource — but could have high blast radius if the job executes code or triggers expensive compute. Confidence is reduced due to empty description.

From the tool's definition Tool name 'create_job' on a server that supports 'scheduling jobs' per server description; description is empty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_job Rate-limited

create_job stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_job": {
      "limits": [
        {
          "counter": "create_job_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Cloudera Machine Learning (CML) MCP Server, so you can run agents against it safely.

FAQ

Questions about create_job

What does the create_job tool do? +

create_job. It is categorised as a Write tool in the Cloudera Machine Learning (CML) MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_job? +

Register the Cloudera Machine Learning (CML) MCP Server MCP server in PolicyLayer and add a rule for create_job: 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 Cloudera Machine Learning (CML) MCP Server. Nothing to install.

What risk level is create_job? +

create_job is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_job? +

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

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

create_job is provided by the Cloudera Machine Learning (CML) MCP Server MCP server (yw449/cloudera-cml-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.