Skip to main content
Glama
ShunL12324
by ShunL12324

generate_bracelet_white_background

Creates professional white-background product photos of bracelets from reference images, using a top-down circular layout while preserving bead count and structure.

Instructions

Generate premium white background product photo of a bracelet from reference images. Creates professional studio photography with pure white background, top-down circular layout. Maintains accurate bead count and structure from references.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aspect_ratioNoAspect ratio for the output image. Default: '1:1' (1024x1024 square)
reference_image_urlsYesArray of reference image URLs or local file paths showing the bracelet from various angles
Install Server

TDQS

A3.7/5.0
Behavior4/5

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

Annotations are empty, so the description carries the full behavioral burden. It discloses meaningful output behavior beyond the tool name: professional studio photography, pure white background, top-down circular layout, and preservation of bead count and structure from references. It omits failure modes or limitations, but the material generated-output behavior is clearly stated.

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

Conciseness4/5

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

The description is short and front-loaded with the core purpose, and the second sentence adds useful behavioral qualifiers such as top-down layout and bead-count fidelity. There is mild redundancy around 'white background' and 'premium/professional', but no significant waste.

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

Completeness4/5

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

For a two-parameter generation tool with a fully documented schema, the description provides enough invocation context: what images to expect, what output style to expect, and what fidelity guarantee is provided. The main gap is not routing the agent among the very similar bracelet/necklace product-photo siblings, but the core call context is complete.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents the reference_image_urls and aspect_ratio parameters, including the default and enum values. The description adds little parameter-specific meaning beyond repeating the idea of using reference images, so the baseline score of 3 is appropriate.

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 uses a specific verb and resource ('Generate...product photo of a bracelet') and adds distinctive output details ('pure white background, top-down circular layout'). However, it does not explicitly contrast itself with siblings like generate_bracelet_tabletop_elegant or generate_bracelet_model_wearing, leaving some differentiation to inference.

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?

The intended use case is implied: creating a studio-style white-background bracelet photo from reference images. There is no explicit when-to-use or when-not-to-use guidance compared with the many similar sibling tools, so the agent must infer the boundary from the tool name and description.

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

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ShunL12324/image-edit-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server