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YouCam for Fashion & Retail

Ai Watch Virtual Try On

AI-Watch-Virtual-Try-On

Virtually Try-On AR Watches with Ease! Only One 2D Image Needed. With just a single 2D image upload, users can instantly try on top-notch watches virtually using our innovative AR-Watches App. This unique feature sets us apart in the world of e-commerce, making it easier than ever for customers to experience your products.

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 indicate non-read-only, non-idempotent, and non-destructive behavior, but the description adds little beyond that. It does not disclose the async/polling behavior hinted by the 'polling' parameter, nor does it mention the need for masks or multiple images. The phrase 'instantly try on' could actually mislead about task latency.

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 contains marketing fluff ('top-notch watches', 'sets us apart', 'easier than ever') that provides no operational value. The core message could be conveyed in one sentence. It is not efficiently structured for an AI agent.

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?

Given the complexity of the schema (four request variants, nested objects, optional masks, adjustable watch parameters), the description is far too thin. It does not explain the different input modes (URL vs File ID), the role of masks, or how the output is produced, despite an output schema existing.

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 description adds essentially no parameter information. It mentions 'one 2D image' but the schema involves source images, reference images, optional masks, and watch-specific tuning parameters. With 50% schema coverage, the description does nothing to compensate for the gap.

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 identifies the tool as a virtual try-on for AR watches, using phrases like 'Try-On AR Watches' and 'AR-Watches App'. This differentiates it from sibling tools for other products, though the marketing tone adds some noise. It is a specific verb+resource statement.

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 is provided for when to choose this tool over the sibling try-on tools. The only clue is the product category in the name, but the description itself does not mention alternatives, prerequisites, 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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