databricks_delete_job

Delete a job and all its associated runs.

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-job.md

WHAT IT DOES

What databricks_delete_job does on Databricks MCP Server

AI agents call databricks_delete_job 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_job is rated Critical

This tool permanently removes data (job configurations and run records) that cannot be recovered or undone. The deletion of 'all its associated runs' indicates bulk data removal. This is categorized as Destructive rather than Write because the action is irreversible and eliminates historical records.

From the tool's definition Tool description states 'Delete a job and all its associated runs' — uses the explicit verb 'Delete' and irreversibly removes both the job definition and all run history.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

databricks_delete_job Hidden

databricks_delete_job 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_job"
  ]
}

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_job call is checked against it from then on.

FAQ

Questions about databricks_delete_job

What does the databricks_delete_job tool do? +

Delete a job and all its associated runs. 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_job? +

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

databricks_delete_job 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_job? +

Yes. Add a rate_limit block to the databricks_delete_job 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_job completely? +

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

databricks_delete_job 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.

KEEP EXPLORING

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Guides

Govern code and CI agents →Blast radius →Tool call approval →