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shigechika

jquants-mcp

by shigechika

get_markets_short_sale_report

Read-onlyIdempotent

Access institutional short sale positions for Japanese stocks to identify short squeeze candidates by screening disclosed short positions per stock.

Instructions

Per-stock institutional short sale positions (大量空売り残高). Standard+ only.

Use for 大量空売り残高, 空売り残, institutional short positions, short squeeze screening. Positions disclosed weekly per institution. Pair with get_equities_earnings_calendar for 決算またぎ空売り残 / 踏み上げリスク screening. For sector-level short ratios (業種別空売り比率), use get_markets_short_ratio instead.

[Supported plans] Standard / Premium

Args: code: Stock code (5 digits, e.g. 27800) disc_date: Disclosure date (YYYYMMDD or YYYY-MM-DD) disc_date_from: Start disclosure date for range query disc_date_to: End disclosure date for range query calc_date: Calculation date (YYYYMMDD or YYYY-MM-DD)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNo
disc_dateNo
disc_date_fromNo
disc_date_toNo
calc_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, so description adds value by noting weekly disclosure per institution. No contradiction. Provides context beyond annotations.

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?

Information-dense with Japanese terms and examples, but every sentence adds value. Some redundancy (e.g., plan mention could be omitted). Slightly verbose but well-organized.

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?

With output schema present, description covers purpose, usage, parameters, and behavioral context. Lacks details on pagination or rate limits, but adequate for a report tool with good annotations.

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?

Schema coverage is 0%, so description fully compensates with clear explanations for each parameter (code, disc_date, etc.) including format examples like YYYYMMDD.

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 'Per-stock institutional short sale positions' with Japanese equivalent, specifying verb and resource. It distinguishes from sibling tool get_markets_short_ratio for sector-level data.

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 (e.g., short squeeze screening) and provides pairing advice with get_equities_earnings_calendar. Directly contrasts with get_markets_short_ratio for different needs.

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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