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Arize-ai

@arizeai/phoenix-mcp

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by Arize-ai

get-latest-prompt

Retrieve the current version of a prompt to access its template, model configuration, and invocation parameters.

Instructions

Get the latest version of a prompt. Returns the prompt version with its template, model configuration, and invocation parameters.

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

Expected return: Prompt version object with template and configuration. Example: { "description": "Initial version", "model_provider": "OPENAI", "model_name": "gpt-3.5-turbo", "template": { "type": "chat", "messages": [ { "role": "system", "content": "You are an expert summarizer. Create clear, concise bullet points highlighting the key information." }, { "role": "user", "content": "Please summarize the following {{topic}} article:\n\n{{article}}" } ] }, "template_type": "CHAT", "template_format": "MUSTACHE", "invocation_parameters": { "type": "openai", "openai": {} }, "id": "promptversionid1234" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
prompt_identifierYes
Behavior2/5

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

No annotations provided. The description does not disclose any behavioral aspects such as side effects, permissions, or safety. It only describes what is returned, not how the operation behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively long with an example and expected return. While the example is helpful, some sentences could be condensed. Structure is clear but not optimally concise.

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

Completeness3/5

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

Given no annotations and no output schema, the description provides a detailed return example, but lacks behavioral transparency and complete parameter guidance. It is adequate but with notable gaps.

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?

The input schema has a single parameter 'prompt_identifier' with no description. The description's example suggests it takes a prompt name, but does not clarify if it accepts an ID or name, nor the format.

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 the latest version of a prompt and details the return content (template, model config, invocation parameters). It distinguishes from siblings like 'get-prompt-version' by specifying 'latest'.

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?

Implicitly describes usage via the example, but no explicit guidance on when to use this tool versus alternatives like 'get-prompt-version-by-tag' or 'get-prompt-by-identifier'. Lacks when-not or exclusions.

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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