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runapi-ai

Ideogram V3 MCP Server

by runapi-ai

remix_image

Remix an input image using a text prompt to generate new variations. Submit a source image URL and get task status and output URLs.

Instructions

Create a Ideogram V3 task on RunAPI (remix image). Returns a task id, status, and output URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
waitNoPoll until the task reaches a terminal status.
modelNoRunAPI model slug for this model line.
styleNo
promptNo
strengthNo
timeout_msNo
aspect_ratioNo
callback_urlNo
output_countNo
negative_promptNo
rendering_speedNo
poll_interval_msNo
source_image_urlYes
reference_mask_urlsNo
reference_image_urlsNo
enable_prompt_expansionNo
style_reference_image_urlsNo
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It mentions returning a task id, status, and output URLs, which hints at asynchronous behavior, but it does not explain the async nature, potential side effects (e.g., credit usage), or whether the operation is destructive or requires 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 a single efficient sentence that packs in the action, resource, and return type. It is front-loaded with the key verb and object, and there is no redundancy or filler.

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?

Given the tool's complexity (18 parameters, no annotations, no output schema), the description is severely under-specified. It covers the basic purpose and return type but omits critical context such as asynchronous behavior, parameter semantics, and usage alternatives, making it far from complete.

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 11%, and the description adds no parameter explanations beyond the tool's basic purpose. The phrase 'remix image' hints at source_image_url, but none of the 18 parameters are clarified, leaving most of them undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('Create a Ideogram V3 task') and names the resource ('RunAPI'), with the parenthetical '(remix image)' clarifying the operation type. However, it does not explicitly distinguish this tool from siblings like edit_image or reframe_image, which also involve image manipulation.

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 is provided on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or comparator to sibling tools like text_to_image or reframe_image, leaving the agent without usage context.

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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