YouCam for Beauty & Personal Care

Ai Eye Color Lens Virtual Try On

AI-Eye-Color-Lens-Virtual-Try-On

AI Eye Color Lens Virtual Simulation provides instant, hyper‑realistic contact lens try‑on by precisely detecting the iris, preserving natural reflections, accurately simulating lens opacity and blending across all iris colors, and enabling users to explore shades from subtle enhancements to vibrant blue transformations, all within a single, professional‑grade AI API. Contact Lenses Virtual Simulation Transform eye color instantly with our AI‑powered virtual try‑on tool. The AI Eye Color Lens Virtual Try‑On delivers hyper‑realistic results by precisely detecting the iris and applying natural, lifelike color adjustments, allowing shoppers to explore new styles without physical samples. Hyper‑Realistic Output
The system preserves natural eye reflections for authentic results, ensuring each color transformation looks true to life. Advanced Contact Filter Simulation
The contact lens filter accurately replicates opacity and blending across different iris base colors, enabling customers to virtually try on a full range of lenses with realistic depth and tone. More Than an Eye Color Changer
This technology goes beyond simple filters, offering a professional‑grade virtual lens experience that enhances customer confidence and boosts conversion.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`polling`	No	If true (default), keep polling until the task finishes, returning the final result. If false, return immediately without waiting for the task to finish.
`request`	Yes

Output Schema

TableJSON Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 11, 2026

TDQS

C2.6/5.0

Behavior2/5

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

The annotations only indicate openWorldHint and non-read-only behavior; the description adds claims about iris detection and reflection preservation but does not disclose operational behavior like async task execution, image input requirements, or the role of the reference file. It also omits limitations or prerequisites.

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 is long and repetitive, with multiple marketing sections reiterating 'hyper-realistic' and 'professional-grade.' It lacks a concise functional summary and buries the core purpose amid promotional language.

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?

The tool has a complex anyOf request structure and polling parameter, but the description never mentions that images must be supplied as URLs or uploaded file IDs, nor does it explain the async/polling workflow. Although an output schema exists, the description still fails to provide enough contextual understanding for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, and the description does not explain the critical relationship between src_file_url and ref_file_url or the effect parameters like intensity and enlargement. The broad mentions of 'opacity and blending' do not map to specific schema fields, so the description fails to compensate for the schema gap.

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 uses specific verbs like 'transform eye color' and 'virtual try-on' and identifies the resource as contact lenses on the eye. It distinguishes this tool from sibling hair/beauty tools by focusing on iris detection and lens simulation.

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 explicit guidance on when to use this tool instead of siblings such as AI-Hair-Color-Virtual-Try-On or AI-Makeup-Virtual-Try-On. The only implied context is 'allowing shoppers to explore new styles,' which is too vague to inform tool selection.

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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