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hedging8563

TokenLab MCP Server

by hedging8563

Create image

create_image_file

Generates images from text prompts with options for size, style, and image editing. Supports text-to-image, image-to-image, and image-edit operations.

Instructions

Create image Creates an image given a prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNo
seedNo
sizeNo
userNo
asyncNo
imageNoLocal reference image upload for compatible image-to-image models. Pass local file path.
modelYesModel to use. Send this explicitly.
styleNo
promptYesImage description
qualityNo
mask_urlNo
operationNo
backgroundNo
image_urlsNoComma-separated reference image URLs.
moderationNo
resolutionNo
compressionNo
aspect_ratioNo
expand_promptNo
output_formatNo
negative_promptNo
response_formatNo
output_compressionNo
reference_image_urlsNoComma-separated reference image URLs for compatible model families.
Behavior3/5

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

Annotations already indicate non-readonly, non-idempotent, non-destructive, open-world. The description adds no new behavioral context beyond 'creates an image', which is consistent but redundant. No contradiction found.

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?

The description is concise, but it wastes words by repeating the title. While short, it could be more informative without increasing length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (24 parameters, no output schema, minimal annotations), the one-sentence description is grossly inadequate. It fails to address usage context, return values, or operational details.

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

Parameters1/5

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

With 24 parameters and only 21% schema description coverage, the description provides no parameter details. It does not explain any parameter's purpose, thus failing to compensate for the schema's low coverage.

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

Purpose2/5

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

The description merely restates the tool's name ('Create image Creates an image') without specifying what distinguishes it from sibling tools like 'create_image' or 'edit_image'. It lacks a clear verb-resource pair that differentiates its scope.

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 is provided on when to use this tool versus alternatives (e.g., create_image, edit_image), nor any conditions for appropriate use. The agent receives no contextual decision support.

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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