Skip to main content
Glama

Generate Background

generate_background

Replace the background of an image by providing a mask that defines the background area and a prompt describing the new scene.

Instructions

Generate a background for an image using a mask to define the background area. The mask indicates which areas should be filled with the generated background.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoNumber of output images (1-6).
maskYesMask defining the background area as a URL or base64-encoded string.
imageYesSource image as a URL or base64-encoded string.
modelNoModel to use.
styleNoStyle category.
promptYesDescription of the background to generate.
style_idNoCustom style ID.
substyleNoSubstyle.
random_seedNoSeed for reproducibility.
image_formatNoOutput format.
negative_promptNoWhat to avoid.
Behavior2/5

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

Annotations indicate readOnlyHint=false, confirming mutation, but the description adds no further behavioral context (e.g., auth requirements, rate limits, what happens to original image). It merely restates functionality.

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

Conciseness5/5

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

Two sentences, front-loaded with action, no wasted words. Every sentence contributes to defining the tool's purpose.

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?

Despite high parameter count (11) and no output schema, the description does not clarify mask color conventions, output format, or return behavior. It minimally defines the task but leaves gaps for a complex generation tool.

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 description coverage is 100%, so the baseline is 3. The description only mentions mask and prompt briefly, adding marginal value beyond the schema's existing parameter descriptions.

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 verb 'generate', the resource 'background for an image', and the method 'using a mask'. It distinguishes itself from sibling tools like remove_background by specifying generation rather than removal.

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 replace_background or image_to_image. It does not mention any prerequisites or exclusions.

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

Install Server

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/BartWaardenburg/recraft-mcp-server'

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