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laogu-caibao

laogu-mcp

by laogu-caibao

Macro Helper

macro_helper

Checks if a given date is an A-share trading day, returns Beijing time and US market sessions, and provides search templates for macro events without fabricating calendars.

Instructions

宏观日历辅助(对应 skill:laogu-macro 宏观日历解读)。

返回:指定日期(默认今天)是否为 A 股交易日(周末直接判否;工作日用龙虎榜 数据存在性交叉验证,标注为启发式)、北京时间、美股时段说明。 诚实声明:议息会议/PMI/CPI 等事件无统一公开 API,本 tool 不编造事件日历, 返回搜索模板由宿主按 laogu-macro 的 Output Contract 生成。 只陈述事实,不做买卖推荐。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the heuristic nature of weekday validation (cross-checked via 龙虎榜 data existence), the default-date behavior, that it is read-only/factual with no recommendations, and explicitly that it will not fabricate event calendars. It stops short of stating permission requirements or output shape, but adds substantial behavioral context.

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?

Purpose and default are front-loaded, but the text is dense with parenthetical asides and repeats return items that the output schema already covers. Each clause is meaningful, yet it could be tightened 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?

For a 1-parameter read tool with an output schema present, the description is nearly complete: it covers the default argument, the heuristic limitation, and the explicit non-goal (no fabricated event calendar). Only permission/prerequisite information is absent, which is minor here.

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 0% for the single `date` parameter, but the description compensates by clarifying that the argument is a date and defaults to today. That partially fills the gap, though it adds no format/expected-value detail beyond the default.

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 states a concrete deliverable: whether a given date (default today) is an A-share trading day, plus Beijing time and US session notes. It is specific about the resource and scope, though it never explicitly contrasts itself with siblings like ipo_calendar or market_snapshot, which also touch calendar/time concerns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied (call it to check trading-day status, default date is today) and the skill mapping (laogu-macro) is noted, but there is no explicit when-to-use/when-not guidance or named alternative among the 15 siblings. The reader must infer routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.