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mlflow_model_versions_delete

Destructive

Delete a specific version of a registered MLflow model by providing the model name and version number.

Instructions

Delete a model version (POST /api/2.0/mlflow/model-versions/delete).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesRegistered model name
versionYesModel version number

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations indicate destructiveHint=true, so the description confirms destruction but adds no extra behavioral context (e.g., irreversibility, effect on artifacts). It is minimally adequate given the annotation.

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), but includes the raw API endpoint URL, which is redundant and slightly noisy. It is mostly efficient.

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?

Given a simple delete operation with existing annotations and output schema, the description covers basic intent but lacks details on permissions, failure conditions, or side effects. It is minimally complete.

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 both parameters already described in the schema. The description adds no additional meaning beyond what the schema provides, meeting the baseline.

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 ('Delete') and the resource ('a model version'), which is specific and distinguishes it from sibling tools like create, get, list, and update.

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 like transition_stage or update. No prerequisites or context for appropriate use provided.

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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