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kie_create_tasks

Create parallel image generation tasks with individual model selection. Submit up to 10 tasks at once and receive task IDs for immediate asynchronous processing.

Instructions

複数の画像生成タスクを並列で作成し、taskIdの配列を即座に返す。各タスクの model は個別指定でき、省略時は text-to-image / image-to-image を入力有無で切り替える。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasksYes生成する画像タスクの配列(最大10件)
Behavior3/5

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

Without annotations, the description discloses parallel creation, immediate return of taskIds, and model auto-switching. However, it omits details on error handling, partial failures, or asynchronous processing, leaving gaps in transparency.

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 two concise sentences with the main action first and then a detail. Every sentence adds necessary information with no redundancy. It is well-structured for quick understanding.

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?

Given the absence of output schema and annotations, the description covers the core behavior well, but does not mention constraints like min/max tasks (1-10) or error scenarios. These are present in the schema but not in the description, so completeness is slightly diminished.

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

Parameters4/5

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

The input schema already provides descriptions for all nested properties. The description adds value by explaining the model auto-selection logic and default model names, which go beyond the schema's enum or defaults. Since schema coverage is high, a score of 4 is appropriate.

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 it creates multiple image generation tasks in parallel and returns an array of task IDs. The verb 'create' and resource 'tasks' are specified. It distinguishes from the sibling 'kie_create_task' by indicating batch processing, but does not explicitly contrast.

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 batch image generation tasks, but does not explicitly state when to use this tool versus the singular counterpart 'kie_create_task' or other siblings. No exclusions or alternatives are mentioned.

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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