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shigechika

jquants-mcp

by shigechika

get_earnings_this_week

Read-onlyIdempotent

Retrieves companies reporting earnings within a specified date window, grouped by day. Defaults to the current week, enriching results with company name and sector.

Instructions

Companies reporting earnings in a date window, grouped by day (今週の決算予定). All plans.

Use for 今週決算がある銘柄, 直近の決算スケジュール, この期間に決算発表する会社一覧, 決算前スクリーニング, earnings this week. Default window = today .. today+7d. Enriches each company with its name and 33-sector from the equities master. For a single stock's next earnings date use get_equities_earnings_calendar(code=...).

[Supported plans] Free / Light / Standard / Premium (cache-first; falls back to one live fetch when the today-or-later part of the window has no cached rows, or today's rows are missing, #523)

Args: date_from: Window start inclusive (YYYYMMDD or YYYY-MM-DD). Defaults to today. date_to: Window end inclusive (YYYYMMDD or YYYY-MM-DD). Defaults to date_from + 7 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toNo
date_fromNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate read-only and idempotent. Description adds cache-first behavior and fallback to live fetch, plus enrichment details. No contradictions.

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?

Description includes mixed languages and internal notes, slightly verbose but still functional. Could be more streamlined.

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?

Covers return format (grouped by day, enriched), caching behavior, and defaults. With output schema and annotations, information is sufficient for agent to use correctly.

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?

Both parameters are described with default values and format (YYYYMMDD or YYYY-MM-DD), compensating for 0% schema coverage.

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?

Description clearly states tool lists companies reporting earnings in a date window, grouped by day, and distinguishes from single-stock earnings calendar. Includes use case examples.

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

Usage Guidelines5/5

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

Explicitly provides when-to-use and when-not-to-use guidance, with alternative tool named (get_equities_earnings_calendar). Also notes default window and plan support.

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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