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asgard-ai-platform

mcp-buy123-vendor

list_cvs_shipment_details

Retrieve convenience store (CVS) shipment details with filters for delivery type, date, product, and shipping status. Provides paginated lists for tracking shipments in the vendor portal.

Instructions

超取出貨明細列表 (GET /v1/shipments/cvs/details).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo頁碼 (1-based)
limitNo每頁筆數
end_dateNo結束日期 YYYY-MM-DD
is_shippedNo是否已出貨: 'true' / 'false'
product_idNo商品 ID
start_dateNo開始日期 YYYY-MM-DD
product_nameNo商品名稱
delivery_typeYes超取方式 (required): 711-b2c / fme-b2c / fme-b2c-cold / 711-c2c / fme-c2c
shipping_typeNo出貨類型: normal / express / preorder
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the HTTP method GET, implying a read-only operation, but adds no information about pagination behavior, response shape, filtering semantics, or potential edge cases. This is minimal disclosure beyond what the name implies.

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 tool's purpose and endpoint. It is efficient with zero waste, though it could be slightly enhanced with usage guidance without becoming verbose.

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 the tool's complexity (9 parameters, no annotations, no output schema), the description is too sparse. It does not explain return format, pagination behavior, or how filters combine, leaving the operational context unclear despite the schema covering parameter definitions.

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?

All 9 parameters are described in the schema with 100% coverage, so the baseline is 3. The description adds no additional parameter context, but the schema already provides complete meaning for each parameter.

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 states '超取出貨明細列表' (CVS shipment details list) with the endpoint GET /v1/shipments/cvs/details, clearly identifying the resource and operation. It does not explicitly distinguish from sibling list_home_delivery_shipment_details, but the tool name itself conveys the CVS vs home-delivery difference.

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 usage guidance is provided. The description does not indicate when to use this tool versus alternatives like list_home_delivery_shipment_details, nor does it mention any prerequisites or contextual filters.

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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