YouCam for Creators

Ai Image Extender

AI-Image-Extender

Experience vibrant AI Outpainting with our cutting-edge AI Image Extender. Seamlessly expand images in any ratio, bringing out your creativity with our advanced AI technology. Preserve the highest quality while expanding your photos without compromising on style or aesthetics. Instantly transform your photos with one-click automatic background enlargement thanks to our user-friendly AI tool. Thanks to our advanced context-aware technology, we ensure a seamless and captivating experience for every viewer. Whether you're aiming for Instagram glory or framing a digital masterpiece, select from a variety of sizes and ratios for that perfect fit. As you tweak and transform, our AI seamlessly weaves its magic, ensuring the expanded areas blend flawlessly with your original photo.The user must always provide the original source image dimensions (width and height) so that missing parameters can be derived safely within valid ranges. If any of the placement, cropping, or output parameters are not explicitly provided, the tool will automatically compute them using the following defaults: the output image size will be set to 1.5× the original source image dimensions; the source image will not be cropped (crop_input_x = 0, crop_input_y = 0, crop_input_width = source_width, crop_input_height = source_height); and the source image will be placed at the exact center of the output image by calculating input_x and input_y such that the source image is horizontally and vertically centered. The input_width and input_height will match the uncropped source image size, and all derived values will strictly ensure that input_x + input_width ≤ output_width and input_y + input_height ≤ output_height, with every parameter remaining within its documented numeric limits.

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

TDQS

A3.8/5.0

Behavior4/5

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

The description goes beyond the annotations by detailing default computation: output size set to 1.5x source, center placement, no cropping, and strict bounds (input_x + input_width ≤ output_width). This discloses concrete behavioral traits not apparent from annotations or schema. It does not contradict the non-destructive, writable hints.

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 front-loaded with marketing fluff ('Experience vibrant AI Outpainting...', 'Whether you're aiming for Instagram glory...') that adds no technical value. The key parameter defaults are buried at the end. An ideal description would be concise and place essential usage information first.

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?

The description covers default calculations and bounds, but omits important context such as the two source input variants (src_file_url vs src_file_id) and when to use one or the other. It also does not mention the polling parameter, though that is in the schema. Given the tool's complexity, the description is partially complete but leaves gaps.

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

Parameters4/5

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

The description adds critical meaning beyond the schema: it explains that source dimensions must be provided, how missing parameters are derived, and the centering/cropping logic. This compensates for the schema's incomplete or confusing descriptions (e.g., output_width described as height). However, it does not explicitly correct all schema ambiguities.

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 states the tool's function: AI outpainting to expand images in any ratio, with automatic background enlargement. This is specific and distinguishes it from sibling tools like background removal or color correction. The verb 'expand' and resource 'images' are explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than explicitly stated. The description emphasizes expanding images but does not provide when-to-use vs alternatives, exclusions, or prerequisites like 'use this when you need to extend image canvas'. The mention of needing source dimensions is a technical requirement, not tool-selection guidance.

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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TDQS

C2.4/5.0

Disambiguation3/5

Many tools are clearly distinct (e.g., AI-Object-Removal-Pro vs AI-Replace), but there is notable overlap among upload-related tools (File-Upload, Get-Upload-API-Info, upload_file) and among photo enhancement tools (Enhance, Color-Correction, Lighting) that could cause misselection. Template-listing tools are repetitive but each is tied to a specific generator.

Naming Consistency2/5

Naming conventions are inconsistent: some tools use PascalCase with dashes (AI-Avatar-Generator), some use verb-first patterns (Get-Feature-Cost, Get-Running-Task-Status), and one uses lowercase snake_case (upload_file). The AI- prefix is consistent for many tools, but the overall pattern is mixed.

Tool Count2/5

With 34 tools, the server feels overloaded. Many tools are variants of similar operations (e.g., numerous template listing tools) and could be consolidated or eliminated. The count exceeds the 25+ threshold for 'too many'.

Completeness4/5

The tool surface covers a broad range of AI media editing operations: photo and video generation, enhancement, background editing, face swap, object removal, and upload/status management. Minor gaps like video background removal (only replacement available) exist, but core workflows are well-supported.

Resources

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