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Arize-ai

@arizeai/phoenix-mcp

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by Arize-ai

get-prompt-version-by-tag

Retrieve a specific prompt version by its tag name. Get the template, model configuration, and invocation parameters for tagged versions like 'production'.

Instructions

Get a prompt version by its tag name. Returns the prompt version with its template, model configuration, and invocation parameters.

Example usage: Get the 'production' tagged version of prompt 'article-summarizer'

Expected return: Prompt version object with template and configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tag_nameYes
prompt_identifierYes
Behavior4/5

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

No annotations provided, so description carries the burden. It discloses that the tool returns template, model config, and invocation parameters. It doesn't mention read-only nature, which is implied but not explicit.

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?

Concise with clear purpose at the start. Example adds value. Minor redundancy in first sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description explains return fields. It does not discuss error cases or edge cases. For a simple get-by-tag tool, it's adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, description does not formally define each parameter. The example uses prompt_identifier and tag_name, but doesn't specify format for prompt_identifier (e.g., ID or name). Adds some meaning but incomplete.

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?

Explicitly states it gets a prompt version by tag name, and lists returned fields. The example and sibling context differentiate it from get-prompt-version.

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

Usage Guidelines4/5

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

Clear that it's for retrieving a specific tagged version, but lacks explicit when-to-use vs alternatives like get-prompt-version. The example hints at common usage.

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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