Skip to main content
Glama
us-all

mlflow-mcp-server

by us-all

search-model-versions

Search registered model versions using filter expressions, with configurable pagination and sorting.

Instructions

Search model versions with filter and pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNoFilter expression (e.g. "name='model_x'")
maxResultsNo
orderByNo
pageTokenNo
Behavior2/5

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

No annotations exist, so the description must explain behavior. It only states the basic operation without disclosing what is returned, authentication needs, or effects. The agent learns no behavioral traits beyond the name.

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 extremely concise, a single sentence with the key elements. However, it may be too brief for the complexity of 4 parameters.

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 4 parameters, no output schema, and no annotations, the description does not provide enough context. It omits pagination behavior, result format, and default sorting. A search tool needs more detail for effective use.

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

Parameters2/5

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

Only one of four parameters ('filter') has a schema description; the description adds no further meaning. It does not explain 'orderBy' format, 'pageToken' usage, or 'maxResults' effect. With 25% schema coverage, the description fails to compensate.

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 verb 'Search', the resource 'model versions', and includes features 'filter and pagination'. It distinctly identifies the tool's purpose and differentiates it from sibling tools like 'get-model-version' (specific retrieval) or 'search-registered-models' (different resource).

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 such as 'get-latest-model-versions' or other search tools. The description lacks any context about prerequisites, suitability, or conditions for using search-model-versions.

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/us-all/mlflow-mcp-server'

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