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veniceai

Venice MCP Server

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by veniceai

Venice Image Generate

venice_image_generate

Generate images from text prompts using multiple AI models, including Flux and SDXL. Supports NSFW content and wallet authentication.

Instructions

Generate an image. Supports Flux 2 Pro/Max, Lustify SDXL, Anime (WAI), Qwen Image, GPT Image, Nano Banana Pro and others. Uncensored: NSFW prompts allowed where the model permits. Supports x402 wallet auth (no Venice account needed) and API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
modelNoDefaults to flux-2-pro.
stepsNo
widthNo
heightNo
promptYes
safe_modeNo
style_presetNoSee venice://styles.
negative_promptNo
Behavior3/5

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

With no annotations, the description must carry the burden. It discloses uncensored nature and auth methods (x402 wallet, API key), but lacks information on rate limits, model availability, costs, or return format.

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 three sentences, front-loading the core action. Every sentence adds information with no redundant words.

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 tool's complexity (9 parameters, no output schema, no annotations), the description is insufficient. It omits return format, model selection guidance, and performance expectations.

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

Parameters2/5

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

Schema coverage is only 22%, yet the description does not elaborate on any parameters beyond listing models. It adds no value over the input schema, missing the opportunity to clarify parameter usage or defaults.

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 'Generate an image' and lists supported models. It distinguishes this tool from siblings like venice_image_edit by focusing on generation from scratch.

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 description implies usage for image generation and mentions uncensored capability, but does not explicitly state when to use this tool versus alternatives (e.g., editing, style transfer) or provide any 'when not to use' guidance.

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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