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ChesterRa

命盘 Mingpan

by ChesterRa

bazi_liuri

Generate daily fortune predictions for a specified month using Bazi astrology. Input birth details and target month to receive daily stem-branch dates and luck analysis for precise date selection.

Instructions

八字流日列表。

返回指定月份内的每日运势(含上下文):

  • 当前大运、流年、流月资讯

  • 公历日期

  • 干支日

用于精细的日期选择。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesBirth year (e.g., 1990)
monthYesBirth month (1-12)
dayYesBirth day (1-31)
hourYesBirth hour in 24-hour format (0-23)
minuteNoBirth minute (0-59)
genderYesGender for fortune direction calculation
longitudeNoBirth location longitude for true solar time adjustment
isLunarNoWhether the input date is in lunar calendar (農曆). If true, will be converted to solar calendar internally.
nameNoSubject name (optional)
ganzhiYearYesThe year of the month
ganzhiMonthYesThe month to query (either GanZhi string or month number 1-12)
Behavior3/5

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

No annotations provided, so description carries full burden. It describes the output (list of daily fortunes with context) but does not mention whether it modifies state, requires prior setup, or performance characteristics. It is adequate for a read-only retrieval tool.

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?

A concise paragraph with key points in bullet form. Front-loaded with the tool's purpose. No unnecessary words.

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 11 parameters and no output schema, the description provides a useful summary of output fields (bullets) and a usage hint. It lacks explanation of how to interpret the context fields, but is otherwise complete enough for an AI to invoke correctly.

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 the schema already documents all parameters well. The description adds no additional parameter meaning beyond listing output fields, which is baseline acceptable.

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 it returns daily fortune (运势) for a month with context (大运、流年、流月、日期、干支), using a specific verb '返回' (returns). It distinguishes from siblings like bazi_liunian (yearly) and bazi_liuyue (monthly) by specifying it's daily (流日).

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 says it's '用于精细的日期选择' (for fine date selection), indicating when to use. It does not explicitly state when to avoid or name alternatives, but the context of siblings makes the usage clear.

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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