databricks_delete_token_management

A destructive tool on the Databricks MCP server.

SERVERDatabricks MCP Server SOURCEpypi:databricks-sdk-mcp

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-delete-token-management.md

WHAT IT DOES

What databricks_delete_token_management does on Databricks MCP Server

AI agents call databricks_delete_token_management to permanently remove resources in Databricks MCP Server, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why databricks_delete_token_management is rated Critical

Deleting tokens is an irreversible action that removes authentication credentials. This could lock out users, disable integrations, or revoke access permissions. The blast radius is critical—token deletion affects security posture and system access.

From the tool's definition Tool name contains 'delete' combined with 'token_management', indicating irreversible deletion of authentication tokens. Description is empty, but the destructive action is clear from the name.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

databricks_delete_token_management Hidden

databricks_delete_token_management is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "databricks_delete_token_management"
  ]
}

RESTRICT 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_delete_token_management call is checked against it from then on.

FAQ

Questions about databricks_delete_token_management

What does the databricks_delete_token_management tool do? +

databricks_delete_token_management is a destructive tool on the Databricks MCP Server MCP server. It is categorised as a Destructive tool in the Databricks MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on databricks_delete_token_management? +

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

databricks_delete_token_management is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit databricks_delete_token_management? +

Yes. Add a rate_limit block to the databricks_delete_token_management 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_delete_token_management completely? +

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

databricks_delete_token_management 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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Guides

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