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@runapi.ai/flux-2-mcp

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by runapi-ai

remix_image

Remix images with Flux 2 on RunAPI. Submit source image URLs and an editing prompt to generate a new variant, then receive a task ID, status, and output URLs.

Instructions

Create a Flux 2 task on RunAPI (remix 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 editing instruction.
timeout_msNo
aspect_ratioNoOutput aspect ratio.
callback_urlNoWebhook URL for async notifications.
output_countNoNumber of images to generate.
poll_interval_msNo
output_resolutionNoOutput resolution.
source_image_urlsYesPublic source image URLs.
enable_safety_checkerNoEnable the safety checker.
Behavior3/5

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

No annotations provided, so the description carries the burden. It discloses the asynchronous nature (returns a task id) and outputs, but does not mention auth, costs, or other behavioral traits like polling or safety checker defaults. Adequate but not rich.

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?

The description is a single, front-loaded sentence that conveys purpose and return values without redundancy. Every word earns its place.

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

Completeness4/5

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

Despite having 11 parameters and no output schema, the description covers the essential return contract (task id, status, output URLs) and the core action. This is sufficient for an asynchronous task tool, though more detail on workflow could improve completeness.

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 82%, which is high, so the schema already documents most parameters. The description adds no extra parameter guidance, but it is not needed given the strong schema coverage. Baseline 3 is appropriate.

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 the verb 'Create', the resource 'Flux 2 task', and the parenthetical 'remix image' distinguishes it from the sibling 'text_to_image'. It also specifies the key return values (task id, status, output URLs), leaving no ambiguity about what the tool does.

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 image remixing with 'Flux 2' and distinguishes from the text-to-image sibling, but it does not explicitly state when to use this tool versus alternatives or any exclusions. Context is clear but not explicit.

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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