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Arize-ai

@arizeai/phoenix-mcp

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by Arize-ai

get-prompt-by-identifier

Retrieve the latest version of a prompt by name or ID. Returns the prompt template, model configuration, and invocation parameters.

Instructions

Get a prompt's latest version by its identifier (name or ID). Returns the prompt version with its template, model configuration, and invocation parameters.

Example usage: Get the latest version of a prompt with name 'article-summarizer'

Expected return: Prompt version object with template and configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_identifierYes
Behavior3/5

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

No annotations provided, so description must carry behavioral info. It states the tool returns a prompt version object and mentions example usage and expected return. It does not disclose error behavior, auth requirements, or confirm it is non-destructive, but for a read operation this is minimally adequate.

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?

Description is succinct: two short paragraphs, front-loaded with purpose, includes a concrete example and expected return format. No unnecessary words or repetition.

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 the tool is simple (1 parameter, no output schema, no annotations), the description covers core purpose, parameter semantics, and expected output. It lacks details on error handling or version specifiers (e.g., specifying 'latest' by default), but is largely complete for a straightforward retrieval tool.

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

Parameters4/5

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

Input schema only defines 'prompt_identifier' as a required string with 0% description coverage. Description adds meaning by clarifying it accepts name or ID, and provides an example ('article-summarizer'). This significantly enriches the bare schema.

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 tool retrieves a prompt's latest version by identifier (name or ID), and specifies the returned content (template, model config, invocation params). This distinguishes it from siblings like 'get-prompt-version' which likely gets a specific version.

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 explicit guidance on when to use this tool versus alternatives (e.g., 'get-prompt-version' or 'list-prompt-versions'). The description does not mention prerequisites, when not to use, or comparisons.

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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