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tjackiet

bitbank-mcp-server

by tjackiet

analyze_bb_snapshot

Retrieve current Bollinger Bands metrics: bandwidth, z-score, and price position within σ bands. Supports default (±2σ) or extended (±1σ,±2σ,±3σ) analysis for volatility assessment.

Instructions

[Bollinger Bands / BB / Squeeze] ボリンジャーバンド(BB / squeeze / bandwidth / zScore)の数値スナップショット。軽量・BB特化。

mode=default: ±2σ帯の基本情報 / mode=extended: ±1σ/±2σ/±3σの詳細分析。

⚠️ 最新値のみ。時系列チャート描画 → prepare_chart_data(indicators: ["BB"])。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNodefault
pairNobtc_jpy
typeNo1day
limitNo
Behavior3/5

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

No annotations are provided, so the description carries full burden. It reveals key behaviors: returns only latest values, offers two modes (default and extended), and is lightweight. However, it does not disclose potential side effects, authentication requirements, or rate limits, though such details may not be critical for a read-only snapshot tool.

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?

The description is concise and front-loaded, with each sentence adding value. It could be slightly more structured by separating parameter details, but overall it avoids redundancy and stays on point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the tool's purpose, modes, and distinguishes from a sibling for charting. However, it lacks details on output format and does not fully explain parameters. Given the absence of annotations and output schema, more context would be beneficial for an agent to use it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain parameters. It explains the 'mode' parameter with its two options but does not describe 'pair', 'type', or 'limit', leaving their semantics unclear beyond default values. This is a significant gap.

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 it provides a numerical snapshot of Bollinger Bands (BB, squeeze, bandwidth, zScore). It highlights being lightweight and BB-specific, distinguishing it from siblings like analyze_sma_snapshot and analyze_ema_snapshot.

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?

The description explicitly notes that latest values only are returned and directs users to prepare_chart_data for time-series charts. While it does not list when not to use this tool, it provides a clear alternative for charting 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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