Skip to main content
Glama
kkruglik

MLflow MCP Server

by kkruglik

get_latest_versions

Read-only

Retrieve the latest version of a registered model for each specified stage, such as Staging or Production.

Instructions

Get latest model versions for each stage (e.g. 'Staging', 'Production').

Args: name: Name of the registered model. stages: List of stages to filter by, e.g. ['Production', 'Staging']. If None, returns latest version for all stages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
stagesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description is consistent with the readOnlyHint annotation, indicating a read operation. It adds context about returning the latest version per stage, which is beyond what annotations provide. No contradictions are present.

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 concise (two sentences plus bulleted arguments), front-loads the purpose, and includes only essential information. Every component contributes to understanding, with no redundant text.

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 presence of an output schema (which does not require return value documentation), the description covers inputs well. It lacks mention of potential edge cases (e.g., no version for a stage), but overall it is fairly complete for a simple retrieval tool.

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

Parameters5/5

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

With 0% schema description coverage, the description fully documents both parameters: 'name' is described as the registered model name, and 'stages' is explained with examples and default behavior. This adds significant meaning beyond the schema's type-only definitions.

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 'Get' and the resource 'latest model versions for each stage', with concrete examples like 'Staging' and 'Production'. This distinguishes it from siblings such as get_model_version and get_model_versions, which serve different purposes.

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

Usage Guidelines4/5

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

The description explains the tool's purpose and behavior (e.g., filtering by stages, returning latest versions). It provides usage instructions for the 'stages' parameter, including the default behavior when None. However, it does not explicitly state when to use this tool over alternatives, though the purpose clearly differentiates it from sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kkruglik/mlflow-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server