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list_member_point_rules

Retrieve member point rules, including reward rates and expiration settings, to analyze loyalty programs and point transactions.

Instructions

取得商店的會員點數規則設定。

【用途】 查看商店設定的點數回饋規則(消費回饋比例、點數到期規則等)。 用於分析會員忠誠度計畫或對照客戶點數異動。

【呼叫的 Shopline API】

  • GET /v1/member_point_rules

【回傳結構】 dict 含 total, rules[]。 每條規則含 id, name, type, value, conditions 等。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided; description carries full burden. It specifies the API endpoint (GET /v1/member_point_rules) and return structure (dict with total and rules array). Does not disclose rate limits, authentication requirements, or potential side effects, but the read-only nature is clear from the GET call.

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?

Description is concise, front-loads purpose, and uses clear sections (用途, API呼叫, 回傳結構). Each sentence adds value without redundancy.

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?

Despite no output schema, the description adequately explains the return structure (dict with total and rules array, each rule containing fields like id, name, type, value, conditions). Covers all necessary context for a simple parameterless tool.

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?

Input schema has zero parameters, so there is nothing to describe. Baseline score of 4 is appropriate per guidelines.

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?

Description clearly states the tool retrieves member point rules, including consumption reward ratio and expiration rules. It also mentions analytical use cases, but does not explicitly differentiate from sibling tools like adjust_customer_member_points or list_store_credits.

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?

Description provides purpose but no guidance on when to use this tool versus alternatives. No explicit when-to-use or when-not-to-use information.

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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