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shigechika

jquants-mcp

by shigechika

get_stock_briefing

Read-onlyIdempotent

Generate a one-page stock briefing with latest price, financials, valuation metrics (PER, PBR, dividend yield), margin ratio, and sector short-sale ratio.

Instructions

One-page briefing for a single stock: price, financials, valuation, and margin (株式ブリーフィング). All plans.

Returns latest price, FY financials, PER/PBR/dividend yield, margin ratio, and sector short-sale ratio. PER/ROE null when EPS≤0. Margin fields null without Standard/Premium cache. See also get_sector_briefing, get_market_briefing.

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

Args: code: Stock code (5 digits, e.g. 27800; 4-digit codes match ordinary shares only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnly, idempotent), the description adds: cache-only behavior, no live API call, and conditional null handling for PER/ROE and margin fields. No contradiction with annotations.

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?

The description is compact yet comprehensive, covering purpose, returned data, conditions, plans, parameter, and cross-references. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema, the description still lists returned fields and conditions. It sufficiently covers all aspects for a single-parameter tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% coverage, but the description fully explains the parameter: format (5 digits, 4-digit for ordinary shares), example, and matching rule.

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 provides a 'one-page briefing' for a single stock, listing specific data points (price, financials, etc.) and explicitly differentiates from siblings like get_sector_briefing and get_market_briefing.

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 provides alternatives (get_sector_briefing, get_market_briefing) and notes conditions (null fields based on plan, EPS≤0). It could be more explicit about when to choose alternatives, but it's clear overall.

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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