mcp_create_databricks_user_folder

WHAT IT DOES

What mcp_create_databricks_user_folder does on Databricks MCP Server

AI agents use mcp_create_databricks_user_folder to create or update resources in Databricks MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Databricks MCP Server environment.

WHY IT NEEDS A POLICY

Why mcp_create_databricks_user_folder needs a policy

This tool creates a new folder resource in Databricks workspace, which is a reversible write operation. The folder creation can be undone by deleting the folder. The severity is medium because while folder creation has limited direct impact, it modifies the workspace structure and could facilitate subsequent operations like file uploads or unauthorized data storage if misused by an agent without proper access…

From the tool's definition Tool name contains 'create' and description states 'Create a user folder in Databricks workspace', indicating the tool creates new data structures in the Databricks workspace.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mcp_create_databricks_user_folder Rate-limited

mcp_create_databricks_user_folder 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": {
    "mcp_create_databricks_user_folder": {
      "limits": [
        {
          "counter": "mcp_create_databricks_user_folder_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 Databricks MCP Server, so you can run agents against it safely.

FAQ

Questions about mcp_create_databricks_user_folder

What does the mcp_create_databricks_user_folder tool do? +

Create a user folder in Databricks workspace for file uploads. It is categorised as a Write tool in the Databricks 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 mcp_create_databricks_user_folder? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for mcp_create_databricks_user_folder: 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 Databricks MCP Server. Nothing to install.

What risk level is mcp_create_databricks_user_folder? +

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

Can I rate-limit mcp_create_databricks_user_folder? +

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

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

mcp_create_databricks_user_folder is provided by the Databricks MCP Server MCP server (stephenjhsu/databricks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.