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runapi-ai

RunAPI Midjourney MCP Server

by runapi-ai

edit_image

Edit an existing image using Midjourney by providing a source image URL and prompt. Initiates a RunAPI edit task, returning a task ID, status, and output URLs.

Instructions

Create a Midjourney task on RunAPI (edit 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.
promptYes
mask_urlNo
timeout_msNo
callback_urlNo
poll_interval_msNo
source_image_urlYes
include_split_imagesNo
Behavior2/5

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

No annotations provided. The description only mentions task creation and return fields, omitting behavioral details like polling behavior (though wait parameter exists), destructive nature, or authentication requirements.

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 a single sentence, concise but too terse. It front-loads the primary action but omits crucial details for a 9-parameter tool.

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?

With 9 parameters, no output schema, and no annotations, the description is severely incomplete. It fails to explain required parameters, how they work together, or the response format beyond a vague reference.

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?

Schema description coverage is only 22% (2 of 9 params have descriptions). The tool description adds no additional parameter meaning or examples, leaving most parameters unexplained.

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 it creates a Midjourney task for editing images, returns task id, status, and output URLs. This distinguishes it from sibling tools like text_to_image or image_to_video.

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 vs alternatives. The description does not specify scenarios or compare with other tools.

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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