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mlflow-mcp-server

set-logged-model-tags

Assign or update tags on a logged MLflow model to organize metadata and track attributes.

Instructions

Set or upsert tags on a LoggedModel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelIdYes
tagsYesTags to set/upsert
Behavior3/5

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

Annotations already indicate this is a write operation (readOnlyHint: false) and allow unknown fields (openWorldHint: true). The description adds no additional behavioral context beyond confirming it sets or upserts.

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 a single, concise sentence that communicates the essential purpose without extraneous information.

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?

For a simple two-parameter tool with annotations, the description is minimally sufficient. However, it could mention whether tags are overwritten on key collision or describe the return value, given no output schema.

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 the 'tags' parameter has a description in the schema (50% coverage). The description does not clarify the meaning of 'modelId' beyond its parameter name, leaving ambiguity.

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 explicitly states the action ('Set or upsert tags') and the target resource ('a LoggedModel'), clearly distinguishing it from sibling tag tools for other resources.

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

Usage Guidelines3/5

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

No explicit when-to-use or when-not-to-use guidance is provided. However, the context of sibling tools implies this is for LoggedModel-specific tag operations, but alternatives are not named.

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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