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runapi-ai

Ideogram V3 MCP Server

by runapi-ai

text_to_image

Generate images from text descriptions using Ideogram V3 with customizable style, aspect ratio, and output count.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleNo
aspect_ratioNo
output_countNo
rendering_speedNo
waitNoPoll until the task reaches a terminal status.
timeout_msNo
poll_interval_msNo
modelNoRunAPI model slug for this model line.
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits, but it only states that a task is created and returns certain fields. It does not mention any side effects, required permissions, rate limits, or error behaviors, which is insufficient for an agent to reliably invoke the tool.

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 concise sentence that front-loads the key action and result. It avoids redundancy but may be too succinct for the tool's complexity. Still, every word contributes to clarity.

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 8 parameters, no output schema, and no annotations, the description is insufficiently complete. It does not explain parameter roles, the workflow of task creation, or the output format beyond listing fields. The agent lacks necessary context to use the tool effectively.

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?

The input schema has 8 parameters with only 25% description coverage. The tool description does not add any parameter details or constraints beyond what the enum lists provide. For a low-coverage schema, the description should compensate but fails to do so.

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 the verb 'Create' and the resource 'Ideogram V3 task', and specifies the domain 'text to image'. It also mentions the return values. While it distinguishes from siblings like edit_image or remix_image by focusing on generation, it does not explicitly contrast with them, so it falls short of a 5.

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?

The description provides no guidance on when to use this tool versus alternatives such as edit_image or remix_image. It does not mention prerequisites, preferences, or constraints, leaving the agent without contextual selection criteria.

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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