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runapi-ai

@runapi.ai/gpt-4o-image-mcp

Official
by runapi-ai

text_to_image

Generate images from text prompts using GPT-4o. Submit a prompt to create a task and receive a task ID, status, and output image URLs.

Instructions

Create a GPT-4o Image task on RunAPI (text to image). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNoPoll until the task reaches a terminal status.
modelNoRunAPI model slug for this model line.
promptNo
mask_urlNo
timeout_msNo
aspect_ratioYes
callback_urlNo
output_countNo
poll_interval_msNo
source_image_urlsNo
enable_prompt_expansionNo
Behavior2/5

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

No annotations provided. Description only mentions return values (task id, status, output URLs), but lacks disclosure of rate limits, authentication requirements, or potential side effects. Incomplete for a tool with 11 parameters and no annotations.

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?

Single sentence is efficient and front-loaded with the key action. However, some additional brevity could be sacrificed for more useful detail without becoming bloated.

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 11 parameters, no output schema, and no annotations, the description is insufficient. It does not explain parameter relationships, task lifecycle, or error handling, leaving agent without necessary context.

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 description coverage is only 18%, meaning most parameters lack schema descriptions. The tool description does not compensate by explaining parameters. Agent must infer meaning from names alone, which may be insufficient.

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?

Description clearly states action 'Create a GPT-4o Image task' and specifies 'text to image'. Distinct from sibling tools (login, get_task, check_pricing) which are about authentication, task retrieval, and pricing.

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 on when to use this tool versus alternatives. Does not mention prerequisites or context. Agent has no hints about optimal usage.

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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