databricks_setup_schema

A write tool on the Databricks MCP server.

SERVERDatabricks MCP Server SOURCEpypi:databricks-sdk-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-setup-schema.md

WHAT IT DOES

What databricks_setup_schema does on Databricks MCP Server

AI agents use databricks_setup_schema 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.

RISK

Why databricks_setup_schema is rated Medium

The name implies schema creation or configuration, which is a Write operation. However, 'setup' could also involve destructive actions like dropping and recreating. With an empty description, confidence is lowered. Defaulting to Write as the most likely interpretation, but severity is high given schemas in Unity Catalog can affect many downstream tables and permissions.

From the tool's definition Tool name 'databricks_setup_schema' suggests creating or configuring a schema in Databricks Unity Catalog; description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs databricks_setup_schema safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Databricks MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For databricks_setup_schema, this is the rule to start with:

databricks_setup_schema Rate-limited

databricks_setup_schema 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": {
    "databricks_setup_schema": {
      "limits": [
        {
          "counter": "databricks_setup_schema_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Databricks MCP Server, apply this rule, and every databricks_setup_schema call is checked against it from then on.

FAQ

Questions about databricks_setup_schema

What does the databricks_setup_schema tool do? +

databricks_setup_schema is a write tool on the Databricks MCP Server MCP server. 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 databricks_setup_schema? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for databricks_setup_schema: 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 databricks_setup_schema? +

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

Can I rate-limit databricks_setup_schema? +

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

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

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

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