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brandos_generate_asset

Generate image assets from text prompts using brand identity injection. Let AI create visuals aligned with your brand style.

Instructions

Generate an image asset using BrandOS Identity Engine.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe description of the image to generate
modelIdYese.g. 'google/nano-banana-pro' or 'ideogram-ai/ideogram-v3-turbo'
imagePathNoAbsolute local path to a source image for img2img
studioModeNoStudio mode routingIDENTITY
aspectRatioNoe.g., '1:1', '16:9', '9:16'1:1
useBrandVaultNoWhether to automatically inject brand identity
referenceImagesPathsNoArray of absolute local paths for reference images
Behavior2/5

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

Description only says 'generate an image asset' with no disclosure of behavioral traits such as output format, storage location, or required permissions. Without annotations, the description provides no additional transparency.

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 a single sentence, concise and front-loaded. However, it could be slightly more informative without losing conciseness.

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 7 parameters and no output schema, the description is incomplete. It fails to describe what is returned (e.g., image URL, file path) or any side effects. For a generative tool, this is a significant gap.

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% with descriptions for each parameter. The descriptive text does not add extra meaning beyond the schema, so baseline score of 3 is appropriate.

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 states 'Generate an image asset using BrandOS Identity Engine.' It specifies a clear verb (generate) and resource (image asset), and distinguishes from siblings like 'generate_asset' by referencing BrandOS Identity Engine.

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?

No guidance on when to use this tool versus alternatives like brandos_generate_mockup or generate_asset. No explicit context, prerequisites, or exclusion criteria are provided.

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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