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Arize-ai

@arizeai/phoenix-mcp

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by Arize-ai

add-prompt-version-tag

Tag a prompt version with a name and optional description to mark its purpose or stage.

Instructions

Add a tag to a specific prompt version. The operation returns no content on success (204 status code).

Example usage: Tag prompt version 'promptversionid1234' with the name 'production'

Expected return: Confirmation message of successful tag addition

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_version_idYes
nameYes
descriptionNo
Behavior2/5

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

No annotations are provided, so the description must carry full burden. It mentions return status (204) but contradicts itself by also stating 'confirmation message'. It does not disclose side effects like overwriting existing tags or error conditions.

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 short and front-loaded with the purpose, including an example and expected return. However, the repetition of 'Add a tag' and the slight inconsistency reduce efficiency.

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 no output schema, the description fails to fully explain return values (contradicts 204 no content with confirmation message). It omits error scenarios and does not cover the optional parameter. The tool is not fully contextualized.

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 minimal meaning beyond the schema. The example clarifies 'name' but does not explain the optional 'description' parameter. The parameters are not fully described.

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 tool adds a tag to a specific prompt version, which is a specific action distinguishing it from siblings like list-prompt-version-tags and get-prompt-version-by-tag.

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?

The description provides an example but lacks explicit guidance on when to use this tool versus alternatives, such as listing or retrieving tags. Usage is implied but not clearly differentiated.

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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