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generate_image

Generate anime images from text prompts using NovelAI's diffusion models with customizable parameters like scale, steps, and negative prompts.

Instructions

Generate high-quality anime images using NovelAI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesText prompt for image generation
modelNoModel to use (default: "nai-diffusion-3")nai-diffusion-3
samplerNoSampler algorithm (default: "k_euler_ancestral")k_euler_ancestral
seedNoRandom seed (default: -1 for random)
negative_promptNoNegative prompt to avoid unwanted elements (default: "")
n_samplesNoNumber of images to generate (default: 1)
widthNoImage width (default: 512)
heightNoImage height (default: 768)
scaleNoCFG scale - prompt adherence (default: 5.0)
stepsNoNumber of generation steps (default: 28)
save_to_fileNoSave image to local file (default: false)
output_dirNoOutput directory for saved images (default: Desktop/novelai_images)
filenameNoCustom filename (without extension, default: auto-generated)
v4_promptNoAdvanced V4 prompt format for character positioning
dynamic_thresholdingNoEnable dynamic thresholding for better contrast (default: false)
variety_boostNoEnable variety boost for more diverse results (default: false)
quality_toggleNoEnable quality toggle (default: false)
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It does not mention return type, side effects (e.g., file saving behavior), rate limits, or whether authentication is required. The description is minimal.

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

Conciseness3/5

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

Single sentence is concise, but for a tool with 17 parameters, it is under-specified. The description should be front-loaded with essential details, which it lacks.

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 the complexity (17 parameters, nested objects, no output schema) and lack of annotations, the description is insufficient. It omits return format, usage prerequisites, and behavioral 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 coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond the parameter descriptions already present in the schema.

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?

Description clearly states the tool generates high-quality anime images using NovelAI, which is a specific verb+resource combination. No sibling tools exist, so no differentiation needed.

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, nor any exclusions or prerequisites. The description is silent on usage context.

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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