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create_category

Create a new product category in your Shopline store, optionally setting a parent category to build a hierarchical structure.

Instructions

[WRITE] 建立新商品分類。

【用途】 在 Shopline 商店中建立新的商品分類,可指定父分類以建立層級結構。

【呼叫的 Shopline API】

  • POST /v1/categories

【回傳結構】 dict 含 success: bool, resource_id: str, message: str, category: dict。

【副作用】

  • 在商店分類列表中新增一筆分類記錄

  • 若 parent_id 不存在,API 可能回傳錯誤

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
category_dataYes分類資料,例如 {"name": "夏季新品", "parent_id": null}
Behavior5/5

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

No annotations are provided, so the description fully covers behavioral aspects. It states it is a write operation, describes the API endpoint, return structure (dict with success, resource_id, message, category), and side effects (adds a new category record). It also notes a potential error condition.

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 well-structured with sections for purpose, usage, API call, return structure, and side effects. It is concise yet informative, with no wasted words.

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

Completeness5/5

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

Given the tool's complexity (one parameter, simple create action), the description is complete. It covers the operation, API details, return format, side effects, and an edge case. No output schema exists, but the return structure is described well enough.

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 has one parameter with a description and example. The description adds value by explaining the structure and providing an example JSON. Schema coverage is 100%, so baseline is 3, but the extra example and explanation justify a 4.

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 explicitly states that the tool creates a new product category in Shopline, with an option to specify a parent category for hierarchy. This clearly defines the action and resource, distinguishing it from other tools like update_category or delete_category.

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

Usage Guidelines4/5

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

The description provides clear usage context: it is for creating a new category. It also warns about potential error if parent_id does not exist. However, it doesn't explicitly contrast with siblings like 'bulk_assign_categories', but the purpose is well-defined.

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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