set-model-version-tag
Assign a key-value tag to a specific model version to organize and annotate MLflow models.
Instructions
Set a tag on a model version
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| version | Yes | ||
| key | Yes | ||
| value | Yes |
Assign a key-value tag to a specific model version to organize and annotate MLflow models.
Set a tag on a model version
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| version | Yes | ||
| key | Yes | ||
| value | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as whether existing tags are overwritten, if the operation is idempotent, or any required permissions. The minimal description leaves critical behavior implicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no fluff. For a simple operation, this brevity is acceptable, but it could be slightly more informative without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the simplicity of the operation, the description lacks context needed for effective agent invocation: no usage guidance, no parameter semantics, no behavioral transparency. Given the many similar sibling tools, this is insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, and the tool description does not explain the parameters. Although parameter names (name, version, key, value) are somewhat intuitive, no additional meaning is provided to clarify their exact roles or valid formats.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Set a tag on a model version' clearly states the action (set) and resource (model version). The tool name reinforces this. However, it does not differentiate from sibling tag-setting tools like set-experiment-tag or set-run-tag, leaving room for confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidance is provided. Given the multitude of sibling tag-setting tools (e.g., set-experiment-tag, set-run-tag), the description offers no hints on when to use this tool over alternatives, nor any prerequisites or limitations.
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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