databricks_list_instance_pools

A read tool on the Databricks MCP server.

SERVERDatabricks MCP Server SOURCEpypi:databricks-sdk-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-list-instance-pools.md

WHAT IT DOES

What databricks_list_instance_pools does on Databricks MCP Server

AI agents call databricks_list_instance_pools to retrieve information from Databricks MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why databricks_list_instance_pools is rated Low

The tool retrieves or enumerates instance pools from Databricks, which is a non-destructive query operation. Even though the description is empty, the tool name clearly indicates a read operation. The blast radius of misuse is limited to potential information disclosure about available compute resources, which is low severity.

From the tool's definition Tool name 'list_instance_pools' indicates a listing/querying operation with no side effects. The absence of action verbs like 'create', 'delete', 'update', or 'execute' and the 'list_' prefix strongly suggest read-only data retrieval.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

databricks_list_instance_pools Allowed

databricks_list_instance_pools is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "databricks_list_instance_pools": {}
  }
}

ALLOW ONLY 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_list_instance_pools call is checked against it from then on.

FAQ

Questions about databricks_list_instance_pools

What does the databricks_list_instance_pools tool do? +

databricks_list_instance_pools is a read tool on the Databricks MCP Server MCP server. It is categorised as a Read tool in the Databricks MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on databricks_list_instance_pools? +

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

databricks_list_instance_pools is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit databricks_list_instance_pools? +

Yes. Add a rate_limit block to the databricks_list_instance_pools 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_list_instance_pools completely? +

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

databricks_list_instance_pools 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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