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kumarakshay2456

tradingview-mcp-india

volume_breakout_scanner

Detect coins with simultaneous volume and price breakouts across multiple exchanges and timeframes. Set volume multiplier and minimum price change thresholds.

Instructions

Detect coins with volume breakout + price breakout.

Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, MEXC, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M volume_multiplier: How many times the volume should be above normal level (default 2.0) price_change_min: Minimum price change percentage (default 3.0) limit: Number of rows to return (max 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exchangeNoKUCOIN
timeframeNo15m
volume_multiplierNo
price_change_minNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must supply behavioral context. Lacks details on real-time vs historical, data source, rate limits, or output format details. Only parameter defaults hint at behavior.

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?

Description is well-structured with an Args block. It is concise and front-loaded with the purpose. However, the Args block could be slightly more compact.

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

Completeness4/5

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

Given the tool has 5 parameters and an output schema, the description covers the necessary input context. Output schema exists, so return values are not required in description. Acceptable for a scanner tool.

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?

All 5 parameters are explained in the description with examples (e.g., exchange names like KUCOIN, BINANCE) and defaults. Since schema coverage is 0%, this description compensates well.

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 the tool detects coins with volume breakout and price breakout, using a specific verb and resource. It distinguishes from sibling tools like smart_volume_scanner and bollinger_scan.

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 vs alternatives. Does not provide when-not usage or comparisons to siblings. Users must infer from parameter descriptions.

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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