Skip to main content
Glama
us-all

mlflow-mcp-server

by us-all

set-registered-model-tag

Assign a key-value tag to a registered model to organize metadata and track attributes.

Instructions

Set a tag on a registered model

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
keyYes
valueYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It does not state whether the operation is idempotent, overwrites existing tags, requires special permissions, or what happens on failure. The agent is left to guess.

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 a single sentence with no redundancy. It is appropriately concise, though it sacrifices clarity and completeness—a trade-off that limits its helpfulness.

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 lack of annotations and output schema, the description is insufficient. It does not cover overwrite semantics, tag value restrictions, or how to manage existing tags, leaving significant gaps for the agent.

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?

Schema coverage is 0% and the description adds no parameter details. While parameter names ('name', 'key', 'value') are somewhat self-explanatory, the description fails to clarify their exact meaning or constraints (e.g., valid characters, maximum length).

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 ('Set') and the resource ('a tag on a registered model'), distinguishing it from sibling tools that set tags on other entities like experiments, runs, or model versions.

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 delete-registered-model-tag or tag-setting tools for other entities. There is no mention of prerequisites, overwrite behavior, or typical use cases.

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