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get_subway_timetable

get_subway_timetable

Retrieve subway train schedules by station, day type, and direction using Korea's official TAGO API data.

Instructions

지하철역의 시간표를 조회합니다. 요일별, 상하행별 시간표를 제공합니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stationIdYes지하철역 ID (search_subway_station 도구로 먼저 검색하여 얻을 수 있음)
dailyTypeYes요일 구분 (WEEKDAY: 평일, SATURDAY: 토요일, SUNDAY: 일요일/공휴일)
upDownTypeYes상하행 구분 (UP: 상행/서울방향, DOWN: 하행/서울반대방향)
pageNoNo페이지 번호 (기본값: 1)
numOfRowsNo한 페이지당 결과 수 (기본값: 20)
filterNonArriveNo정차하지 않는 열차 필터링 여부 (기본값: true)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does (retrieves timetables) but lacks critical behavioral details: it doesn't mention pagination behavior (implied by pageNo/numOfRows parameters), filtering behavior (implied by filterNonArrive), response format, error conditions, or rate limits. For a read operation with multiple parameters, this is insufficient.

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 extremely concise and front-loaded: two short sentences that directly state the tool's purpose and scope. There is no wasted language or redundancy, making it efficient for an agent to parse.

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 complexity (6 parameters, no annotations, no output schema), the description is incomplete. It doesn't address key aspects like pagination, filtering, response format, or error handling. For a tool with multiple operational parameters and no structured output definition, the description should provide more context to guide effective use.

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?

The description adds minimal parameter semantics beyond the schema. It mentions '요일별, 상하행별 시간표' (timetables by day type and direction), which aligns with the dailyType and upDownType parameters, but doesn't explain the other parameters (stationId, pageNo, numOfRows, filterNonArrive). With 100% schema description coverage, the baseline is 3, and the description doesn't significantly enhance 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 the tool's purpose: '지하철역의 시간표를 조회합니다' (retrieves subway station timetables). It specifies the resource (subway station timetables) and scope (by day type and direction). However, it doesn't explicitly differentiate from sibling tools like 'get_all_subway_timetables' or 'search_subway_station', which would be needed for a perfect score.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_all_subway_timetables' or 'search_subway_station', nor does it specify prerequisites (e.g., that stationId must be obtained from another tool first, as hinted in the schema but not in the description). This leaves the agent without clear usage context.

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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