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@runapi.ai/flux-2-mcp

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by runapi-ai

text_to_image

Generate images from text prompts using Flux 2 models on RunAPI. Submit a prompt, choose model and settings, and receive task status and output image URLs.

Instructions

Create a Flux 2 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.
promptYesImage description.
timeout_msNo
aspect_ratioNoOutput aspect ratio.
callback_urlNoWebhook URL for async notifications.
output_countNoNumber of images to generate.
poll_interval_msNo
output_resolutionNoOutput resolution.
enable_safety_checkerNoEnable the safety checker.
Behavior2/5

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

No annotations are provided, so the description must carry the behavioral burden. It discloses that the tool returns a task id, status, and output URLs, but it does not mention the asynchronous task nature, polling behavior, safety checker, or prerequisite login/authentication.

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 concise and front-loaded with the primary action ('Create a Flux 2 task'). It efficiently conveys the return value but could be slightly more structured with an additional context sentence.

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 tool has 10 parameters and no output schema, yet the description only covers the basic creation and return values. Important context such as model options, aspect ratios, safety checking, and async completion is missing, making it insufficient for a complex tool.

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

Parameters3/5

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

Schema description coverage is 80%, so the schema already documents most parameters. The description adds no parameter-level details beyond what the schema provides, so it neither elevates nor detracts from the baseline.

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 uses a specific verb and resource: 'Create a Flux 2 task on RunAPI (text to image).' It clearly states the tool's function and differentiates from siblings like remix_image or get_task by focusing on text-to-image generation.

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

Usage Guidelines3/5

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

The description implies usage for text-to-image generation but does not explicitly state when to use this tool versus alternatives such as remix_image. It lacks exclusions or guidance on 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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