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higgsfield_generate_image

Generate images from text descriptions using AI. Control style, dimensions, and negative prompts for customized results.

Instructions

Generate an image from a text prompt using Higgsfield AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesHiggsfield API key
promptYesText description of the image to generate
styleNoStyle name (use higgsfield_get_styles to list available styles)
widthNoImage width in pixels
heightNoImage height in pixels
negative_promptNoWhat to avoid in the image
seedNoRandom seed for reproducibility
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose any behavioral traits such as success/failure outcomes, rate limits, authentication requirements beyond the api_key parameter, or side effects. Minimal transparency.

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?

The description is a single, concise sentence with no wasted words. It is front-loaded with the core action.

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?

For a tool with 7 parameters and no output schema, the description is too minimal. It does not explain the output format (e.g., image URL) or any important constraints, leaving the agent with insufficient context.

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 does not add extra meaning beyond what the schema already provides about the parameters.

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 action (generate), the resource (image), the method (from a text prompt), and the platform (Higgsfield AI). It distinguishes from sibling tools like higgsfield_generate_video and higgsfield_get_styles.

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 when-to-use or when-not-to-use guidance is provided. The description does not mention alternatives, prerequisites, or context for using this tool over others.

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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