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yuandeshoulian

ModelScope Image Generation MCP Server

generate_image

Create custom images from text descriptions using AI models. Specify prompts, adjust parameters like size and style, and receive generated image URLs.

Instructions

Generate an image using ModelScope image generation models. The tool will wait until the image is generated and return the image URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel to use for image generation. Available options: 'Qwen/Qwen-Image' (default), 'Tongyi-MAI/Z-Image-Turbo'Qwen/Qwen-Image
promptYesPositive prompt for image generation (English recommended). Max length: 2000 characters
negative_promptNoNegative prompt to specify what to avoid in the image. Max length: 2000 characters
sizeNoImage resolution size (e.g., '1024x1024'). Range for Qwen-Image: [64x64, 1664x1664]. Default: 1024x1024
seedNoRandom seed for reproducibility. Range: [0, 2^31-1]
stepsNoNumber of sampling steps. Range: [1, 100]
guidanceNoGuidance scale for prompt adherence. Range: [1.5, 20]
image_urlNoURL of the image to edit (only for image editing mode). Must be publicly accessible
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'will wait until the image is generated and return the image URL,' which adds some behavioral context about synchronous operation and output format. However, it lacks critical information about rate limits, authentication requirements, error handling, or whether the operation is read-only or mutative.

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 efficiently structured in two sentences that directly convey the core functionality and behavioral characteristic (synchronous waiting). There's no wasted verbiage, though it could potentially be more front-loaded with key constraints.

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?

For an image generation tool with 8 parameters and no output schema, the description provides basic operational context but lacks important details about authentication, rate limits, error conditions, and the format/structure of returned data. The 100% schema coverage helps, but the description alone doesn't provide complete guidance for effective tool invocation.

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?

The input schema has 100% description coverage, providing detailed documentation for all 8 parameters including ranges, defaults, and constraints. The description adds no additional parameter semantics beyond what's already in the schema, so it meets the baseline score of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('generate an image') and the resource ('using ModelScope image generation models'), making the purpose immediately understandable. However, with no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, so it doesn't reach the highest score.

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, nor does it mention any prerequisites or contextual constraints. It simply states what the tool does without offering 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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