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shigechika

jquants-mcp

by shigechika

detect_follow_through_day

Read-onlyIdempotent

Check if a follow-through day confirms a new uptrend in Japanese stocks. Uses TOPIX z-score and volume criteria from the IBD method.

Instructions

Check whether a follow-through day (フォロースルーデイ) confirms a new uptrend. All plans.

Use when asking if a rally attempt is confirmed (IBD method): TOPIX z-score ≥ +sigma on session 4+ from rally_start, with higher market turnover. See also detect_distribution_days. Data available ~17:15 JST on trading days.

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

Args: rally_start: Rally attempt start — the low/reversal day (YYYYMMDD or YYYY-MM-DD). date: Date to check (YYYYMMDD or YYYY-MM-DD). Defaults to latest cached date. sigma_multiplier: z-score threshold (default 2.0).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rally_startYes
dateNo
sigma_multiplierNo

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, destructiveHint, idempotentHint. Description adds data timing (17:15 JST), plan suitability, and cache-only nature. 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.

Conciseness5/5

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

Extremely concise: purpose first, then usage, availability, and parameter details. Two sentences plus bullet-point args. No fluff.

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?

Fully covers purpose, usage, logic, data timing, and parameters. Output schema exists, so return values are covered. Complete for this tool.

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 provides clear parameter explanations in 'Args' block with format examples and defaults. Compensates for lack of schema comments.

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 states 'Check whether a follow-through day confirms a new uptrend' and distinguishes from sibling tool 'detect_distribution_days' via explicit mention. Specific verb+resource with clear scope.

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?

Explicitly says 'Use when asking if a rally attempt is confirmed (IBD method)' and describes the condition. Mentions alternative sibling tool. Does not state when not to use, but sufficient guidance.

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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