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당사주 12성 사주 조회

dangsaju_reading

Calculate Korean Dangsaju 12 stars from birth date and time. Get deterministic structured data with period readings for early, middle, late life, and overall fortune, without interpretation.

Instructions

생년월일시로 당사주(唐四柱) 12성(星)을 산출한다. 년성(초년)·월성(중년)·일성(말년)·시성(총운·평생)의 지지·별과 해당 시기 해설 원문을 그대로 반환한다. 세기는 inclusive, 방향은 순행 고정(남녀 동일)이 기본이며 남순여역은 변형 모드로 지원한다. 해석·조언은 생성하지 않는 데이터 전용 도구다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sexNo성별. direction=male_forward_female_backward일 때만 사용(male=순행, female=역행)
calendarNo입력 달력 종류 (기본 solar=양력)solar
directionNo방향 규칙. forward=순행 고정(기본). male_forward_female_backward=남순여역 변형(sex 필요)forward
birth_dateYes생년월일 (YYYY-MM-DD)
birth_timeNo출생 시각 (HH:MM). 미입력 시 시성(총운·평생) 제외, 년·월·일성만 반환
is_leap_monthNo음력 윤달 여부 (calendar=lunar일 때만 유효, 평달로 정규화)
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses key behaviors: inclusive counting, default forward direction for both sexes, the variant mode, and that it returns original text without generated interpretation. This is strong coverage. It could be improved by noting that omitting birth_time yields only year/month/day stars, but that detail is present in the schema.

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 concise and densely packed, with three sentences covering purpose, output, counting/direction rules, and tool type. There is no redundant or filler content, and it is front-loaded with the primary function.

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 that no output schema exists, the description should clearly explain return values and edge cases. It mentions the four periods and what is returned, but it omits the behavior when birth_time is not provided (hour star excluded, only year/month/day returned), which is an important nuance. This leaves a gap in understanding the tool's full behavior.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful context beyond the schema by explaining the direction parameter's two modes, specifying that sex is required only for the variant, and clarifying the tool's data-only nature. This helps the agent understand how parameters interact.

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 clearly states the tool's function: it calculates the Dangsaju 12 stars from birth date/time and returns the branches, stars, and original explanation texts for the year, month, day, and hour periods. It also distinguishes itself from the sibling tool by emphasizing it is a data-only tool that does not generate interpretations, making its purpose unambiguous.

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 context for use: it specifies the default forward direction and the male-forward/female-backward variant, and warns that it does not produce interpretations or advice, implying it is for raw data retrieval. However, it does not explicitly name the sibling tool or state when to prefer this over it, so it falls short of explicit exclusion guidance.

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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