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query_orders

Retrieve order summaries by date range, status, and channel. Filter by store and limit results for targeted analysis.

Instructions

依時間區間、訂單狀態、通路來源查詢訂單列表。回傳精簡的訂單摘要。

【呼叫的 Shopline API】

  • GET /v1/orders/search

  • GET /v1/orders

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYes起始日期 YYYY-MM-DD
end_dateYes結束日期 YYYY-MM-DD
statusNo訂單狀態篩選
channelNo通路篩選: online=線上官網, pos=實體門市, all=全部all
store_nameNo門市名稱篩選(如:松菸誠品、新光A11)
max_resultsNo最多回傳筆數
Behavior3/5

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

No annotations are provided, so the description must carry behavioral transparency. It mentions calling two GET endpoints ('GET /v1/orders/search' and 'GET /v1/orders'), indicating a read-only operation, but does not explicitly state non-destructiveness or other traits like rate limits.

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 relatively concise with two sentences and an API list. It front-loads the purpose, but the API list adds some redundancy. No wasted sentences.

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

Completeness3/5

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

Given 6 parameters and no output schema, the description misses details like output format, pagination, and ordering. It is adequate but lacks complete context for an agent to fully understand the return structure.

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 description coverage is 100%, so baseline is 3. The description does not add significant meaning beyond the schema; it only reiterates filter categories already defined in the input schema.

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 it queries order lists by time range, status, and channel, returning a concise summary. It clearly distinguishes from sibling tools like get_order_detail or get_archived_orders.

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 filtering orders but does not explicitly contrast with alternatives or provide when-not conditions. Usage is implied by the tool name and sibling list.

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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