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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 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
Behavior3/5

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

No annotations provided, so the description must carry the burden. It clearly indicates a read operation and states what is returned. However, it does not disclose error handling (e.g., what happens if identifier not found) or any specific constraints. Adequate for a simple getter but not exhaustive.

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 two-paragraph structure with a clear first sentence stating purpose. Includes a useful example and expected return, which aids understanding. Could be slightly more terse, but overall front-loaded and efficient.

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 simple input (single parameter) and no output schema, the description is largely complete. It clarifies the identifier as name or ID and describes the return structure (template, model config, invocation parameters). No obvious gaps for this straightforward 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?

Schema has no description for the single parameter 'prompt_identifier' and 0% coverage. The description adds critical meaning: 'name or ID', which helps the agent understand valid inputs. This significantly compensates for the schema's lack of documentation.

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?

Clearly states it gets a prompt's latest version by identifier, specifying the resource (prompt version) and action (get). Distinguishes from sibling tools like 'get-prompt' or 'get-prompt-version' by targeting the latest version and using name or ID.

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-by-tag, get-latest-prompt, get-prompt). The description implies fetching the latest version, but does not explain when this is appropriate or what distinguishes it from similar tools.

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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