execute_sql

Execute a SQL statement with parameters: statement (string, required), warehouse_id (string, required), catalog (string, optional), schema (string, optional)

SERVERDatabricks MCP Server SOURCEandresgarciasobrado91/databricks-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/andresgarciasobrado91-databricks-mcp-server/execute-sql.md

WHAT IT DOES

What execute_sql does on Databricks MCP Server

AI agents invoke execute_sql to trigger actions in Databricks MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why execute_sql is rated High

This tool triggers execution of code (SQL) whose effects fundamentally depend on the argument (the SQL statement provided). While the tool could be used for read-only queries, it can equally execute data modifications, deletions, or destructive operations. Per classification rules, Execute is chosen over Read because the tool permits arbitrary SQL including DML/DDL.

From the tool's definition Tool executes arbitrary SQL statements with required 'statement' parameter. Databricks SQL can include CREATE, INSERT, UPDATE, DELETE, DROP, and other data-modifying operations depending on warehouse permissions and statement content.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs execute_sql 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 execute_sql, this is the rule to start with:

execute_sql Rate-limited

execute_sql stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_sql": {
      "limits": [
        {
          "counter": "execute_sql_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 execute_sql call is checked against it from then on.

FAQ

Questions about execute_sql

What does the execute_sql tool do? +

Execute a SQL statement with parameters: statement (string, required), warehouse_id (string, required), catalog (string, optional), schema (string, optional). It is categorised as a Execute tool in the Databricks MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_sql? +

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

execute_sql is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_sql? +

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

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

execute_sql is provided by the Databricks MCP Server MCP server (andresgarciasobrado91/databricks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Databricks MCP Server, and thousands of servers like it.

This server

All 15 Databricks MCP Server tools → High-risk tools on this server →

Across the catalogue

claude_execute on Claude Bridge →execute_test_case on Percepta MCP Server → All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →