Skip to main content
Glama
Arize-ai

@arizeai/phoenix-mcp

Official
by Arize-ai

get-prompt-by-identifier

Retrieve the latest version of a prompt using its 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
Behavior4/5

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

The description discloses that the operation returns a prompt version object with specific fields, implying a read operation. With no annotations, it does not cover authorization or error cases, but the behavior is sufficiently described for a standard get action.

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?

The description is very concise: one sentence for purpose, one for example, one for return expectation. No unnecessary words, well-structured.

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

Completeness5/5

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

Given no output schema, the description adequately explains the return value (prompt version with template, model config, invocation params). Combined with the clear purpose, it provides sufficient context for correct invocation.

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

Parameters5/5

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

The input schema has a single undocumented parameter. The description adds meaning by explaining the parameter accepts a name or ID, and provides an example usage. This compensates for the 0% schema description coverage.

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 retrieves a prompt's latest version by identifier (name or ID), specifying the resources returned (template, model config, invocation params). It is distinct from siblings like get-prompt or get-prompt-version by focusing on 'latest version'.

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 does not explicitly compare to siblings or provide when-to-use guidance. While the purpose is clear, the agent might benefit from noting this is the tool for latest version retrieval versus specific versions or tags.

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