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kkruglik

MLflow MCP Server

by kkruglik

get_model_versions

Read-only

Retrieve all versions of a specified registered model from the MLflow Model Registry. Enables review and comparison of model iterations by model name.

Instructions

Get all versions of a registered model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

The description adds no behavioral information beyond the annotation 'readOnlyHint: true'. It does not disclose properties like sorting order, pagination, or whether deleted versions are included. The annotation covers the read-only aspect, but the description fails to provide additional context.

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

Conciseness3/5

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

The description is concise (one sentence, no fluff). However, it sacrifices completeness for brevity, omitting essential usage details. It is appropriately sized but could be improved without added length.

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?

Given the simplicity (1 param, readOnly annotation, output schema exists), the description is still insufficient. It lacks context about the output (list of version objects), ordering, error handling, and how to distinguish from sibling tools. The output schema existence reduces the need to explain return values, but the description remains too sparse.

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

Parameters1/5

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

The only parameter 'model_name' has 0% schema description coverage and the tool description does not explain it beyond the schema's title 'Model Name'. No details about format, uniqueness, or expected values are provided, leaving the agent with no extra semantic understanding.

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 'Get all versions of a registered model' clearly states the action (get) and resource (all versions of a model). However, it does not differentiate from siblings like 'get_model_version' (single version) or 'get_latest_versions' (only latest), which could cause confusion.

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 is provided on when to use this tool versus alternatives. For example, it does not mention that it returns all versions (including non-latest) or what to do if the model doesn't exist. A sibling such as 'get_model_version' suggests a single version lookup, but no explicit when-to-use information is given.

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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