YouCam for Beauty & Personal Care

Ai Teeth Whitening

AI-Teeth-Whitening

AI Teeth Whitening API The AI Teeth Whitening API provides an advanced, automated solution for enhancing smiles in photos. Using intelligent image processing, it brightens teeth naturally and accurately, creating polished, professional results within seconds. How It Removes Yellow Teeth in Photos Smart Whitening
The API automatically detects teeth and applies a natural-looking whitening effect without making the image appear artificial. Adjustable Levels
A built-in adjustment feature allows users to control the degree of whitening, from a subtle enhancement to a more pronounced, camera-ready finish. Key Features Quick and Easy Enhancement
Achieve a noticeably brighter smile in just a few seconds. Accurate AI Detection
Advanced detection ensures that only teeth are modified, maintaining a realistic and balanced appearance. Adjustable Whitening Intensity
Users can fine-tune the whitening strength to match their preferred style. Natural Results with Advanced Algorithms The AI Teeth Whitening API uses sophisticated algorithms designed to identify teeth precisely and apply whitening effects that remain true to life. Users can refine the intensity to achieve a subtle, natural improvement, ensuring that the final result looks authentic and visually appealing.

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

C2.5/5.0

Behavior2/5

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

The description focuses solely on the aesthetic outcome and does not disclose operational behavior like task-based asynchronous processing, input source requirements (public URL or file ID), or output format. Annotations already convey readOnlyHint=false, but the description adds no extra side-effect or safety context.

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 excessively verbose with redundant sections (e.g., 'Key Features' repeating earlier points). It is not front-loaded with essential usage information, and every sentence does not earn its place.

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 complex request object with two input variants (src_file_url vs src_file_id) and a polling parameter, the description is operationally incomplete. It does not explain how to invoke the API, how to handle task status or results, or how to use polling, even though an output schema exists.

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?

Schema coverage is only 50%, and the description uses marketing language like 'adjustable whitening intensity' without explaining the 0-100 scale or the skin smoothing parameters. It does not compensate for undocumented fields such as polling, index, or effect details, leaving the agent without enough parameter understanding.

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 function: it 'brightens teeth naturally and accurately' in photos, which is a specific verb+resource. This distinguishes it from siblings like AI-Smile. However, the purpose is buried in lengthy marketing text and lacks a concise one-line summary.

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 such as AI-Smile or AI-Teeth-Whitening-Detection. It does not mention prerequisites, exclusions, or correct use cases, leaving the agent without context for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All YouCam for Beauty & Personal Care tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources

Need Help?