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bitbankinc

bitbank-lab-mcp

Official
by bitbankinc

analyze_stoch_snapshot

Check Stochastic oscillator overbought/oversold zones, crossovers, and divergences for any crypto pair in a selected timeframe.

Instructions

[Stochastic / Overbought / Oversold] Stochastic(stochastic / %K / %D / overbought / oversold / divergence)の最新状態。ゾーン・クロス・ダイバージェンスを判定。

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairNobtc_jpy
typeNo1day
limitNo
kPeriodNo
smoothDNo
smoothKNo
Behavior3/5

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

With no annotations, the description must disclose behavior, and it does add the key constraint of 'latest value only' and the warning about chart drawing. However, it does not describe the output format, whether the operation is read-only, or any side effects, leaving significant behavioral detail unspecified.

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 at two sentences, front-loading the purpose. The first sentence is a bit keyword-heavy but still efficient, and the second sentence adds a real usage hint. No wasted words.

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

Completeness2/5

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

For a tool with six parameters and no output schema, the description is incomplete. It fails to explain parameter semantics or the nature of the returned analysis (e.g., what 'zone', 'cross', 'divergence' mean as outputs). The agent cannot correctly configure the tool without external knowledge.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must explain the six parameters (pair, type, limit, kPeriod, smoothD, smoothK), but it mentions none of them. The agent has no guidance on what these parameters mean or how they affect the analysis, a major gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it analyzes the latest state of the Stochastic indicator (zone, cross, divergence), which is specific and distinguishes it from generic indicator tools. It also differentiates from prepare_chart_data by explicitly noting this is a snapshot, though it does not name sibling snapshot tools like analyze_bb_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?

It explicitly states that only the latest value is provided and directs chart drawing to prepare_chart_data, giving clear guidance on when not to use this tool. However, it does not explain when to choose this over other indicator snapshots (e.g., BB, Ichimoku), which is implied but not spelled out.

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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