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YouCam for Beauty & Personal Care

Ai Wavy Hair Virtual Try On

AI-Wavy-Hair-Virtual-Try-On

Whether you're dreaming of bouncy ringlets, loose waves, or a bold curly statement, the YouCam API’s curly hair filter lets you experiment with a fresh, fabulous hairstyle in seconds—all from the comfort of home. Whether you’re testing a soft wave or a wild afro, YouCam delivers precision and realism that other tools can’t match. It’s perfect for anyone wanting to experiment nobel hairstyle risk-free and make people look forward to their next salon visit. Suggestions for How to Shoot:

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pollingNoIf true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
requestYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already indicate non-read-only, non-idempotent, non-destructive behavior, but the description adds no operational context such as how the filter is applied, whether an uploaded image is required, or what the output contains. Claims like 'precision and realism' and 'risk-free' are promotional rather than transparent behavioral disclosures.

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

Conciseness2/5

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

The description opens with repetitive marketing sentences and ends with an incomplete heading. It is not front-loaded, and most sentences do not earn their place; a truncated 'Suggestions for How to Shoot' further weakens structure.

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

Completeness2/5

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

An output schema exists, so return values are covered, but the description leaves major gaps around template selection, source image requirements, and how the virtual try-on process works. It is not enough to guide correct invocation beyond what the schema already states.

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 tool description never mentions template_id, src_file_url, src_file_id, or polling. The schema provides some parameter descriptions, but with only 50% coverage, the prose needed to compensate; it does not.

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 indicates this is a virtual hair try-on tool for curly/wavy styles ('curly hair filter lets you experiment with a fresh, fabulous hairstyle', 'loose waves', 'wild afro'). It is not a tautology, but it lacks a precise operational verb like 'applies' and does not explicitly differentiate itself from sibling hair-style tools.

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?

There is no guidance on when to use this tool versus alternatives such as AI-Hair-Style-Virtual-Try-On or the dedicated Templates tool. The phrase 'perfect for anyone wanting to experiment... risk-free' is generic marketing, and the 'Suggestions for How to Shoot' section is empty or truncated.

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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