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거래대사 정산 요약 조회

getSettlementSummaries

Retrieve daily settlement summaries for a sub-store, including amounts, fees, cancellations, and corrections by settlement date. Specify date range in YYYY-MM-DD format.

Instructions

특정 하위 상점(store)의 거래대사 정산 요약을 정산일 기준 일별로 조회합니다.

각 일자별로 정산 금액/건수, PG 수수료, 취소, 후보정 합산치와 상점·PG별 상세 내역을 제공합니다. 날짜는 반드시 YYYY-MM-DD 형식으로 입력합니다. 조회 기간 제약: from 은 최근 6개월 이내여야 하고, 한 번에 조회 가능한 구간은 최대 1개월입니다. store 아이디는 list_stores 도구로 먼저 조회할 수 있습니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYes정산일 조회 종료일 (YYYY-MM-DD)
fromYes정산일 조회 시작일 (YYYY-MM-DD)
afterNo이전 페이지의 마지막 커서
firstNo조회할 일 수 (최대 100)
storeNo조회할 하위 상점 아이디. 생략하면 고객사 내 모든 하위 상점을 조회합니다.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes일별 정산 요약 목록
endCursorYes다음 페이지 조회에 사용할 커서
hasNextPageYes다음 페이지 존재 여부
Behavior3/5

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

No annotations are provided, so the description carries full weight. It discloses date format, range limits, pagination (after, first), and store filtering. However, it does not mention rate limits, authentication needs, or potential side effects. For a read operation, this is adequate but not comprehensive.

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 6 sentences, starting with the main purpose. It is well-structured but could be slightly more streamlined without losing information.

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?

Given the presence of an output schema, the description adequately covers the typical usage scenario. It mentions the data provided (amounts, fees, cancellations, adjustments) and constraints. Could add edge cases or error conditions, but overall sufficient.

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?

Schema coverage is 100%, but the description adds value beyond the schema: it explains that store is optional and can be obtained from list_stores, and that after is for pagination. This contextual guidance enhances parameter understanding.

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 clearly states it retrieves daily settlement summaries for a specific sub-store. It names the resource (settlement summaries) and the action (retrieve). While it doesn't explicitly differentiate from siblings like getSettlementStatistics, the focus on daily summaries by settlement date distinguishes it well.

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 explicit usage context: date format (YYYY-MM-DD), time constraints (from within last 6 months, max 1 month range), and store retrieval via list_stores. It does not state when not to use it, but the constraints give clear guidance on valid inputs.

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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