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shigechika

jquants-mcp

by shigechika

detect_52w_high_low_range

Read-onlyIdempotent

Scan for 52-week high and low breakouts across a date range. Retrieve stock symbols hitting new highs or lows over multiple days in one query.

Instructions

Scan 52-week high/low breakouts (52週高値/安値) across a date range. All plans.

Use this instead of repeated detect_52w_high_low calls for multi-day queries. Issue one range call — splitting into parallel range calls defeats the purpose. date_from must be within the past 52 weeks. Data available ~17:15 JST on trading days.

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

Args: date_from: Range start inclusive (YYYYMMDD or YYYY-MM-DD). Within past 52 weeks. date_to: Range end inclusive (YYYYMMDD or YYYY-MM-DD). code: Optional stock code (bypasses pre-computed cache when set). window_sessions: See detect_52w_high_low (default 252). min_prior_sessions: See detect_52w_high_low (default 60). detail: Include full per-stock data array (default False).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_fromYes
date_toYes
codeNo
window_sessionsNo
min_prior_sessionsNo
detailNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Adds cache-only behavior, data availability time, and date_from constraint, complementing annotations (readOnly, idempotent). No contradiction.

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-organized with sections, but slightly verbose; still every sentence adds value.

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?

Covers purpose, usage constraints, plans, and all parameters. Output schema exists so return values are not needed.

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?

All 6 parameters are described with format, defaults, and behavior, compensating for 0% schema description 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?

Clearly states 'Scan 52-week high/low breakouts across a date range' and differentiates from sibling 'detect_52w_high_low' by advising to use this for multi-day queries.

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 tells when to use (multi-day queries) and when not to use (splitting into parallel calls), and provides data availability timing.

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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