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kkruglik

MLflow MCP Server

by kkruglik

delete_model_version

Destructive

Delete a specific model version from the MLflow registry. This action is permanent and cannot be undone.

Instructions

Delete a specific model version from the registry. Irreversible — the version and its metadata cannot be recovered.

Args: name: Name of the registered model. version: Version number to delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
versionYes
Behavior3/5

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

Annotations already declare destructiveHint=true, and the description reinforces this by stating 'Irreversible.' It adds minor detail about metadata loss, but does not disclose other behavioral traits like permissions or cascading effects.

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 extremely concise: two sentences and a bulleted list. Key information is front-loaded, and every sentence adds value without redundancy.

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?

Given the tool's simplicity, annotations, and lack of output schema, the description adequately covers what the tool does and its irreversible nature. It could mention prerequisites or error conditions, but it is largely complete for a delete operation.

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?

With 0% schema description coverage, the description provides basic explanations for the two parameters. However, these explanations merely restate the parameter names ('Name of the registered model'; 'Version number to delete') and add no additional format or context beyond the schema.

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 deletes a specific model version and emphasizes irreversibility. It effectively distinguishes from siblings like delete_registered_model, which deletes the entire model, or copy_model_version.

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 implies when to use (when a specific version needs deletion) but does not explicitly provide when-not-to-use or alternative tool suggestions. Usage context is implied by the name and sibling list.

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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