Skip to main content
Glama
Databricks Unity Catalog MCP Server

Databricks Unity Catalog MCP Server

by revodatanl

get-jobs

Retrieve a list of all jobs in a Databricks workspace to inspect job definitions and monitor scheduled workloads via the MCP server.

Instructions

Retrieve a list of all jobs in the workspace

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
errorYes
contentYes
successYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral burden. 'Retrieve a list' makes the read-only nature clear, but it does not mention pagination, permissions, ordering, or whether all job states are included.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no unnecessary wording. It communicates the core action and scope efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter list tool with an output schema, the description is mostly complete because it names the resource and workspace scope. It could be stronger by clarifying how it relates to get-job-details and get-job-runs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and schema coverage is 100%, so there is no parameter meaning for the description to add beyond the input schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Retrieve a list of all jobs in the workspace.' It distinguishes listing from detail/run siblings only implicitly, since it does not name get-job-details or get-job-runs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies usage for listing jobs, but gives no explicit when-to-use guidance, no exclusions, and no routing against the available job-related siblings such as get-job-details or get-job-runs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.