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theosera

claude-openai-image-mcp

by theosera

Generate an image

generate_image

Create images from text prompts using OpenAI's image model. Outputs base64 image with metadata; supports optional size, quality, and output format (subject to server allowlist).

Instructions

Generate an image from a text prompt using the configured OpenAI image model. Returns an image (base64) plus metadata. size/quality/output_format are optional and restricted to the server allowlist; the server picks the model.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNo
promptYes
qualityNo
output_formatNo
Behavior3/5

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

Annotations indicate non-read-only and non-destructive. Description adds server model selection and parameter restrictions, but does not disclose potential side effects like API costs or rate limits, especially given openWorldHint=true.

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?

Two efficient sentences front-loading purpose and key constraints. No extraneous wording.

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?

Returns are described briefly (base64+metadata) but no output schema or details on metadata structure. openWorldHint=true hints at unstated side effects, leaving gaps for an agent.

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?

With 0% schema coverage, description only notes that size/quality/output_format are optional and allowlist-restricted, without explaining their meaning or allowed values. The prompt parameter is unelaborated.

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?

Clearly states verb (generate) and resource (image) with model context. Specific enough to distinguish from potential siblings, though none are listed.

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?

Indicates parameters are optional and allowlist-restricted, and that the server picks the model. Provides context for when to use, but lacks explicit exclusions or alternatives.

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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