Skip to main content
Glama
Arize-ai

@arizeai/phoenix-mcp

Official
by Arize-ai

add-prompt-version-tag

Tag a prompt version with a name like 'production' to label it for deployment. This helps in managing and organizing prompt versions.

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?

Description mentions 204 status code and no content, but then mentions 'Confirmation message', creating ambiguity. No disclosure of side effects, idempotency, or authorization needs, and annotations are absent.

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, but the expected return line is redundant and slightly contradictory, making it less concise.

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?

With no annotations and no output schema, the description leaves out many details: error handling, idempotency, whether tags are unique, and it contradictorily mentions a confirmation message while saying no content.

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%, so description must explain parameters. Only an example for prompt_version_id and name is given; the optional 'description' parameter is unexplained. No constraints or semantics beyond type are provided.

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?

Description clearly states the action 'Add a tag' to a resource 'specific prompt version', with an example that distinguishes it from sibling tools like listing or retrieval.

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 on when to use this tool vs alternatives; it simply states the function without exclusion or context, though the sibling list implies this is the only add tag tool.

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/Arize-ai/phoenix'

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