create_table · Databricks MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_table does on Databricks MCP Server

AI agents use create_table 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 create_table needs a policy

This tool creates new tables in a Databricks warehouse, which is a reversible write operation. While SQL statements *could* be destructive if the statement parameter accepts DROP/DELETE commands, the tool's stated purpose is table creation. However, given that the statement parameter is user-supplied and unconstrained, there is risk of misuse.

From the tool's definition Tool name 'create_table' with description indicating it 'Create table via SQL'; performs data creation/modification in Databricks via SQL statement execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_table Rate-limited

create_table 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_table": {
      "limits": [
        {
          "counter": "create_table_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 create_table

What does the create_table tool do? +

Create table via SQL with parameters: warehouse_id, statement. 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 create_table? +

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

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

Can I rate-limit create_table? +

Yes. Add a rate_limit block to the create_table 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_table completely? +

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

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