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Today rhythm · 今日节奏

today_rhythm

This tool looks up a deterministic rules engine. Same day → same answer. Do not invent pillars or fortune claims. Call when the user asks 今天节奏怎么样 / 今天势能怎么样 / 今天干支是什么 / 今天适不适合签约开会发版 / 今天流通怎么样 / 该不该推进某事 / what is today's rhythm. First line is the #be time atom (keep 干支 in Chinese). Then east pillars, this month’s fold year (same pillar), month posture × west tightness, plus the daily west almanac. Always surface the fold-year line and ask what they lived that year. Public · local · no API key. Preview ≠ prediction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate YYYY-MM-DD. Default: today in Asia/Shanghai. Use when the user asks about a specific day.
hourNoClock HH:MM or 时支 like 申 / 未时. Adds the public hour pillar. Use when the user says 现在 / 下午 / 几点.
localeNoReply language. zh (default) or en.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden and does so reasonably: it declares determinism ('same day → same answer'), deployment facts ('Public · local · no API key'), and a fidelity caveat ('Do not invent pillars or fortune claims', 'Preview ≠ prediction'). It does not state read-only status explicitly, rate limits, or failure behavior, leaving some gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose is front-loaded in the first sentence, but the remainder is a dense run-on mixing triggers, output structure, and caveats with opaque jargon ('east pillars', 'month posture × west tightness'). Every fragment is informative, yet the wall-of-text formatting makes structure and scannability poor.

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?

For a 3-param tool with full schema coverage and no output schema, the description usefully sketches the output sequence (time atom, east pillars, fold-year, almanac), which compensates for the missing output schema. The main omission is sibling differentiation and any error/precondition behavior.

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 date, hour, and locale are already fully documented in the schema with defaults and usage notes. The description adds no parameter-level guidance beyond what the schema provides, so the baseline of 3 applies.

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?

States a specific verb and resource (looks up today's rhythm from a deterministic rules engine) and clarifies the nature ('same day → same answer'). It also describes the returned content (time atom, east pillars, fold year, west almanac). However, it never distinguishes itself from siblings like personal_day, body_rhythm, or time_fold, so the agent must infer the boundary from the name alone.

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?

Provides an explicit trigger list ('Call when the user asks 今天节奏怎么样 / ... / what is today's rhythm'), which gives the agent concrete invocation conditions. It stops short of stating when NOT to use it or naming alternative tools for adjacent queries, so there is no routing guidance beyond the positive triggers.

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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