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tzangms

shopline-mcp

by tzangms

update_gift_quantity_by_sku

Update gift stock quantity by SKU to a new absolute value. Supports batch inventory synchronization via Shopline API.

Instructions

[WRITE] 依 SKU 更新贈品庫存數量。

【用途】 直接以 SKU 為索引更新贈品庫存數量,適合批次庫存同步場景。

【呼叫的 Shopline API】

  • PATCH /v1/gifts/quantity-by-sku

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

【副作用】

  • 指定 SKU 的贈品庫存數量將被覆蓋為新值

  • 庫存變動立即生效,影響贈品可用性

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYes贈品 SKU 編號
quantityYes新的庫存數量(絕對值,非差異)
Behavior5/5

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

With no annotations, the description carries the full burden. It explicitly labels the operation as [WRITE], details side effects (quantity will be overwritten, changes take effect immediately, affecting gift availability), and describes the return structure. This is thorough behavioral disclosure.

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 clear sections (Purpose, API Called, Return Structure, Side Effects) and is appropriately sized. The [WRITE] prefix and main action are front-loaded, and every sentence contributes to understanding the tool.

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?

For a simple 2-param write tool with no output schema or annotations, the description is complete. It covers purpose, usage context, exact API endpoint, return structure, and side effects. No critical information is missing.

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 coverage is 100%, with both sku and quantity described meaningfully (quantity as absolute value, not difference). The description reinforces this by noting the overwrite behavior, but adds little new parameter-specific information beyond the schema. 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 tool's function: '依 SKU 更新贈品庫存數量' (update gift inventory quantity by SKU). It uses a specific verb (update), identifies the resource (gift inventory quantity), and specifies the indexing method (by SKU), distinguishing it from sibling tools like update_gift or update_addon_product_quantity_by_sku.

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 usage context: '適合批次庫存同步場景' (suitable for batch inventory sync scenarios) and notes the direct SKU-indexed approach. It does not explicitly mention when not to use this tool or alternative tools, but the context is clear enough.

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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