rename_file · Cloudera Machine Learning (CML) MCP Server MCP

WHAT IT DOES

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

AI agents use rename_file 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 rename_file needs a policy

Renaming a file modifies project state reversibly (the original file content and name can be restored through another rename operation). This is a Write category action. Severity is medium because misuse could cause confusion or workflow disruption in a shared ML project environment, but the change is easily reversible and doesn't destroy data or execute code.

From the tool's definition Tool description states 'Rename a file in a CML project' — renaming is a reversible modification operation that changes file metadata.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

rename_file Rate-limited

rename_file 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": {
    "rename_file": {
      "limits": [
        {
          "counter": "rename_file_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 rename_file

What does the rename_file tool do? +

Rename a file in a CML project. 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 rename_file? +

Register the Cloudera Machine Learning (CML) MCP Server MCP server in PolicyLayer and add a rule for rename_file: 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 rename_file? +

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

Can I rate-limit rename_file? +

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

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

rename_file 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.