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shigechika

jquants-mcp

by shigechika

get_technical_indicators

Read-onlyIdempotent

Calculate technical indicators like SMA, Bollinger Bands, and RSI for a stock. Provide stock code and optional date range to retrieve sma5/25/75, bb20 bands with upper/lower, and rsi14.

Instructions

Compute technical indicators (SMA, Bollinger Bands, RSI) for a single stock (テクニカル指標). All plans.

Use for SMA・移動平均・ボリンジャーバンド・RSI queries on a specific stock. For charting use get_candlestick_data; for VWAP pressure use compare_close_vs_vwap. Supported: sma5, sma25, sma75, bb20 (→ bb20_mid/upper/lower ±2σ), rsi14. Null when not warmed up.

[Supported plans] Free / Light / Standard / Premium (API fallback on cache miss)

Args: code: Stock code (required). date: Single trading date (YYYYMMDD or YYYY-MM-DD). Overrides date_from/date_to. date_from: Range start inclusive (YYYYMMDD or YYYY-MM-DD). date_to: Range end inclusive (YYYYMMDD or YYYY-MM-DD). indicators: Indicator names list. Default ["sma5","sma25","bb20","rsi14"].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
dateNo
date_fromNo
date_toNo
indicatorsNo

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 readOnly, idempotent, etc. Description adds that null is returned when not warmed up, and mentions API fallback on cache miss. This adds 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.

Conciseness5/5

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

Well-structured: main purpose, usage, supported indicators, plans, then args. Front-loaded with critical info. No wasted sentences.

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 usage context, parameter details, supported plans, caching behavior, and indicator list. Output schema exists so return values are handled. Complete for an agent to use correctly.

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?

With 0% schema description coverage, the description compensates well by explaining each parameter: required code, date format, date vs date_from/date_to relationship, indicators default and supported values.

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 it computes technical indicators (SMA, Bollinger Bands, RSI) for a single stock. Explicitly distinguishes from sibling tools like get_candlestick_data and compare_close_vs_vwap.

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?

Provides explicit when-to-use guidance: 'Use for SMA・移動平均・ボリンジャーバンド・RSI queries on a specific stock.' Also gives alternative tools for charting and VWAP pressure.

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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