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generate_image

Generate images using AI models, supporting editing, style transfer, and background removal for versatile creative tasks.

Instructions

Generate high-quality images using AI models including FLUX, Gemini, GPT Image, Recraft, and more. Supports text-to-image, image-to-image editing, style transfer, background removal, and professional product photography. Handles transparency, aspect ratios, and multi-model comparison. Requires connection to the full Creative Claw MCP server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the image to generate

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.4/5.0
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. It only mentions a connection requirement, but does not disclose side effects such as resource consumption, rate limits, or potential for cost. It also fails to mention whether the tool modifies inputs or has any destructive behavior. 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.

Conciseness4/5

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

The description is a single paragraph with two sentences, reasonably compact given the range of features listed. It is well-structured and front-loads the core purpose, but includes some redundancy (e.g., 'high-quality' and list of features). Still, it is not overly verbose.

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?

The description does not provide sufficient context for the agent to effectively use the tool beyond a basic prompt. It does not explain how to specify models, aspect ratios, or which editing modes are available, because those parameters are missing from the schema. The agent cannot act on the advertised capabilities, leaving critical information absent.

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?

The schema only includes a 'prompt' parameter with a basic description, but the tool description mentions many capabilities (model selection, aspect ratios, multi-model comparison) that would require additional parameters not present in the schema. This mismatch makes the sole parameter insufficient to execute the advertised features, confusing the agent.

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 tool generates high-quality images with specific capabilities (text-to-image, image-to-image, style transfer, etc.), distinguishing it from siblings like generate_video and generate_speech. The verb 'Generate' and resource 'images' are explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates when to use this tool (for image generation) versus alternatives (video, speech) by naming the output type. It also notes a prerequisite (connection to the Creative Claw MCP server). However, it does not explicitly contrast with alternatives or state when not to use it.

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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