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bitbankinc

bitbank-lab-mcp

Official
by bitbankinc

detect_whale_events

Detects large orders (whale events) in cryptocurrency markets by analyzing order book and candlestick data to identify big player movements and smart money activity.

Instructions

[Whale / Large Orders / Big Players] 大口投資家の動向検出(whale / large orders / big players / smart money)。板×ローソク足で大口注文を簡易検出。推測ベース。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairNobtc_jpy
minSizeNo
lookbackNo1hour
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It mentions 'speculation-based' and 'simple detection', but lacks details on output format, error handling, or behavior under different conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is short but mixes languages and lacks structure. It conveys the core idea but could be more organized and concise.

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

Completeness1/5

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

Without output schema and with no parameter descriptions, the description fails to provide complete context. The agent cannot determine return values or how parameters affect results.

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 coverage is 0% and the description does not explain any parameters (pair, minSize, lookback). The agent has no additional meaning beyond the raw schema.

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 the tool detects whale/large orders using order book and candlesticks, and it is speculation-based. It distinguishes itself from sibling tools that are primarily technical indicators or data retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description implies it is for detecting large orders but does not specify context or exclusions.

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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