get-job-details · Databricks Unity Catalog MCP Server MCP

WHAT IT DOES

What get-job-details does on Databricks Unity Catalog MCP Server

AI agents call get-job-details to retrieve information from Databricks Unity Catalog MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why get-job-details needs a policy

This tool retrieves and displays job configuration and task metadata from Databricks without creating, modifying, deleting, or executing any operations. It is purely informational/queryable, matching the Read category pattern of the other inspection tools on this server.

From the tool's definition Tool name 'get-job-details' and description 'Get job details like settings and tasks by the job id' indicate retrieval of metadata without modification.

Documented attack patterns abuse exactly the kind of access get-job-details gives an agent:

POLICY

How to control get-job-details

PolicyLayer is an MCP gateway — it sits between your AI agents and Databricks Unity Catalog MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get-job-details:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get-job-details": {}
  }
}

get-job-details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Databricks Unity Catalog MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Databricks Unity Catalog MCP Server tools

Read find-tables-by-name find-tables-by-name Read get-catalogs Retrieve a list of all available catalogs in the Databricks workspace Read get-job-runs Get recent job runs by job id. Read get-jobs Retrieve a list of all jobs in the workspace Read get-schemas-in-catalogs Retrieve a list of all available schemas in the given catalogs. Read get-tables-details Retrieve detailed information for the given tables. Read get-tables-in-catalogs-schemas Retrieve a list of all tables in the given catalogs and schemas.

All 8 Databricks Unity Catalog MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get-job-details

What does the get-job-details tool do? +

Get job details like settings and tasks by the job id. It is categorised as a Read tool in the Databricks Unity Catalog MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get-job-details? +

Register the Databricks Unity Catalog MCP Server MCP server in PolicyLayer and add a rule for get-job-details: 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 Unity Catalog MCP Server. Nothing to install.

What risk level is get-job-details? +

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

Can I rate-limit get-job-details? +

Yes. Add a rate_limit block to the get-job-details 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 get-job-details completely? +

Set action: deny in the PolicyLayer policy for get-job-details. 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 get-job-details? +

get-job-details is provided by the Databricks Unity Catalog MCP Server MCP server (revodatanl/databricks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Databricks Unity Catalog MCP Server tool call.

Start from Databricks Unity Catalog MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →

Free to start. No card required.

8 Databricks Unity Catalog MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.