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shigechika

jquants-mcp

by shigechika

detect_follow_through_day

Read-onlyIdempotent

Confirm a new uptrend by checking if a follow-through day occurs after a rally attempt, using TOPIX z-score and volume conditions.

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 indicate read-only and idempotent. Description adds valuable cache-only behavior across plans and explicit data availability time, enhancing 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.

Conciseness5/5

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

Well-structured with separate sections for purpose, usage, supported plans, and args list. No redundant sentences, efficient.

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 output schema exists, description covers input parameters, usage context, caching behavior, and data availability, making it complete for the tool's complexity.

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 explains all three parameters with formats and default behavior for `date` and `sigma_multiplier`, adding meaning 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?

Clear verb 'Check whether' with specific IBID method context, mentions related sibling tool `detect_distribution_days`, and explains condition (TOPIX z-score ≥ +sigma on session 4+). Distinguishes from siblings.

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 states when to use ('when asking if a rally attempt is confirmed'), provides alternative `detect_distribution_days`, and notes data availability time (~17:15 JST).

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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