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mlflow-mcp-server

by us-all

finalize-logged-model

Set a terminal status like READY or FAILED on a logged model to finalize its lifecycle.

Instructions

Set a terminal status (READY/FAILED/...) on a LoggedModel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelIdYes
statusYesTerminal status to set on the logged model
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It hints that the status becomes terminal, but contradicts the schema which includes non-terminal PENDING. No mention of idempotency, authorization, or consequences (e.g., if already finalized).

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?

Single sentence, no wasted words. Front-loaded with verb and resource, includes key parameter examples. Appropriate length for a simple tool.

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

Completeness2/5

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

Despite tool simplicity, key context is missing: no mention of return behavior, failure conditions, or lifecycle stage. No output schema to compensate. The description leaves agents uncertain about side effects and prerequisites.

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 50% (only status has description). The description adds value by clarifying that status should be terminal, but it lists incomplete examples and does not explain modelId. The discrepancy about PENDING reduces clarity.

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 the action ('Set a terminal status') and the target resource ('LogdedModel'), and mentions the specific statuses (READY/FAILED/...), distinguishing it from sibling tools like create-logged-model or set-logged-model-tags.

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?

No guidance on when to use this tool versus alternatives, no prerequisites mentioned (e.g., model must exist, status transition rules), and no context about whether the operation is reversible or has side effects.

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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