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shigechika

jquants-mcp

by shigechika

get_market_briefing

Read-onlyIdempotent

Retrieve daily Japanese stock market briefing with ADR, sector rankings, top movers, turnover, and screener highlights for a given trading date.

Instructions

Daily market briefing: ADR, sector ranking, top movers, turnover, screener highlights (相場ブリーフィング).

Use for 相場ブリーフィング, 市場概況, 今日の相場, daily briefing, market summary. For sector valuation (PER/PBR) use get_sector_briefing instead. For single-stock detail use get_stock_briefing instead.

[Supported plans] Free / Light / Standard / Premium (cache-only, no API call)

Returns: summary (ADR 25d, TOPIX change, margin ratio), sector top/bottom n, sector_short_ratios (S33 空売り比率, Standard+), top movers, top turnover, screener highlights (52w/YTD highs/lows, volume surges, price limits, notable stocks by RSI14), value_screen (年安・割安・高配当・好決算 top n, null when unavailable), trend signals (distribution days, follow-through). Margin/short-ratio fields are null when those caches are absent.

Args: date: Trading date (YYYY-MM-DD or YYYYMMDD). sector_type: "s33" (default, 33 TSE sub-sectors) or "s17" (17 top-level). n: TopN size for movers/turnover sections (1–100, default 5).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNo
dateYes
sector_typeNos33

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 detailed return structure, null handling for absent caches, and plan restrictions. 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.

Conciseness4/5

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

Well-structured with summary, usage, return details, and args. Slightly lengthy but front-loaded. Minor redundancy in return field descriptions.

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?

Complex tool with many return fields, all described. Caching and plan info provided. Output schema exists, but description still adds value. Complete for agent use.

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 coverage is 0%, but description explains each parameter: date format, sector_type valid values, n range and default. Adds significant context beyond schema.

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?

Clearly states 'Daily market briefing' with specific components (ADR, sector ranking, top movers, etc.). Distinguishes from siblings by directing to get_sector_briefing for sector valuation and get_stock_briefing for single stocks.

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 lists use cases in Japanese and English, gives alternative tools for sector and stock details, and notes caching behavior (cache-only, no API call) and plan limitations.

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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