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Noveum

API-Market MCP Server

by Noveum

Get_hairstyled_image_URL

Retrieve the URL of a simulated hairstyle image using a unique request ID. Ideal for accessing personalized hairstyle transformations via the API-Market MCP Server.

Instructions

This endpoint retrieves the URL of the simulated hairstyle image for a given request ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYesUnique identifier for the request.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves a URL, implying a read-only operation, but doesn't specify whether it's idempotent, requires authentication, has rate limits, or what happens if the request ID is invalid. For a retrieval tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that front-loads the core purpose ('retrieves the URL') and includes essential context ('simulated hairstyle image,' 'for a given request ID'). There is no wasted language, and it's appropriately sized for a simple retrieval tool.

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 the tool's low complexity (one parameter, no output schema, no annotations), the description is minimally complete. It explains what the tool does but lacks behavioral details (e.g., error handling, response format) and usage context. Without annotations or output schema, it should provide more guidance on what to expect, but it's adequate for basic understanding.

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?

The input schema has 100% description coverage, with the 'request_id' parameter documented as 'Unique identifier for the request.' The description adds no additional meaning beyond this, as it only repeats that it's 'for a given request ID.' With high schema coverage, the baseline score is 3, as the schema adequately handles parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'retrieves the URL of the simulated hairstyle image for a given request ID.' It specifies the verb ('retrieves'), resource ('URL of the simulated hairstyle image'), and scope ('for a given request ID'). However, it doesn't explicitly differentiate from sibling tools like 'Hair_style_simulator' or 'Get_ageing_gif_URL', which likely have related but distinct functions.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a request ID from another process), exclusions, or comparisons to siblings like 'Hair_style_simulator' (which might generate the image) or 'Get_ageing_gif_URL' (a similar retrieval tool for a different resource). Usage is implied but not explicitly stated.

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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