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mlflow-mcp-server

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get-prompt-optimization-job

Retrieve details of a prompt optimization job by providing its job ID.

Instructions

Get a prompt optimization job by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
jobIdYesPrompt optimization job ID
Behavior2/5

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

No annotations are provided, and the description fails to disclose behavioral traits such as idempotency, error handling (e.g., what happens if jobId is invalid), or authentication needs. The agent has no insight beyond the operation name.

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

Conciseness4/5

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

The description is very concise (one sentence) and front-loaded, but it is almost too minimal. It earns its place as a clear statement of purpose, though a bit more context would not hurt.

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

Completeness3/5

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

For a simple get-by-ID tool with one parameter and no output schema, the description is adequate but lacks completeness. It does not mention the return format or potential errors, leaving some ambiguity.

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

Parameters3/5

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

Schema coverage is 100% with a clear description for jobId. The tool description adds no further meaning beyond the schema, so baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states it retrieves a prompt optimization job by ID, distinguishing it from sibling tools like 'search-prompt-optimization-jobs' or 'cancel-prompt-optimization-job'. The verb 'Get' and resource are explicit.

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

Usage Guidelines3/5

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

The description does not provide explicit when-to-use or when-not-to-use guidance. It implies usage when an ID is known, but does not mention alternatives like 'search-prompt-optimization-jobs' for when the ID is unknown.

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

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