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lightkeeper90

ultimate-tradingview-agent

rating_filter

Filter coins by Bollinger Band rating to spot potential buy or sell signals. Provide exchange, timeframe, and rating to return a list of matching coins.

Instructions

Filter coins by Bollinger Band rating.

Args: exchange: Exchange name like KUCOIN, BINANCE, BYBIT, etc. timeframe: One of 5m, 15m, 1h, 4h, 1D, 1W, 1M rating: BB rating (-3 to +3): -3=Strong Sell, -2=Sell, -1=Weak Sell, 1=Weak Buy, 2=Buy, 3=Strong Buy limit: Number of rows to return (max 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
ratingNo
exchangeNoKUCOIN
timeframeNo5m

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions 'filter' but does not state whether this is a read-only operation, what the output contains, or any side effects or prerequisites. The rating scale in Args adds some context but does not cover the tool's behavioral traits.

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?

The description is a single concise purpose sentence followed by a well-structured Args block. Every line is informative and necessary, with no wasted words.

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 input parameters well and the output schema likely covers return values. However, it lacks contextual details like whether this is a live scan, how results are ordered, or when to use it instead of sibling tools. Given no annotations, more context would be needed for full completeness.

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

Parameters5/5

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

Schema description coverage is 0%, and the description fully compensates by explaining each parameter: exchange with examples, timeframe with exact allowed values, rating with the full -3 to +3 scale and meanings, and limit with a max value. This adds significant value beyond the bare 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 filters coins by Bollinger Band rating, using a specific verb and resource. However, it does not explicitly differentiate itself from sibling tools like bollinger_scan, which may serve a similar purpose.

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 guidance is provided on when to use this tool versus alternatives. The description only states what it does, not when it should be preferred or how it relates to sibling scanning tools.

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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