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lightkeeper90

ultimate-tradingview-agent

volume_confirmation_analysis

Confirm coin price trends by analyzing trading volume on a specified exchange and timeframe, delivering data-driven signals for trading decisions.

Instructions

Detailed volume confirmation analysis for a specific coin.

Args: symbol: Coin symbol (e.g., BTCUSDT) exchange: Exchange name timeframe: Time frame for analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
exchangeNoKUCOIN
timeframeNo15m
Behavior2/5

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

With no annotations, the description must disclose behavioral traits such as read-only nature, return format, or side effects. It only restates 'detailed volume confirmation analysis' and lists parameters, adding no transparency about what happens when the tool is invoked. The lack of any context about output or data sources is a significant gap.

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 brief and front-loaded with the purpose, followed by a compact args list. It avoids unnecessary fluff and is easy to scan. However, the args section is somewhat redundant with the schema and could be integrated more naturally, so it does not earn a perfect score.

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?

Given no output schema, no annotations, and a tool with three parameters, the description is incomplete. It omits what the analysis returns, what inputs are valid (e.g., supported exchanges/timeframes), and how it differs from sibling tools. The context is insufficient for an agent to decide confidently when to invoke this tool.

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?

Schema description coverage is 0%, so the description must fully compensate. It provides only minimal explanations: symbol gets an example (BTCUSDT), but exchange and timeframe are merely restated by name with generic glosses ('Exchange name', 'Time frame for analysis'). No allowed values, formats, or additional semantics are given, despite defaults existing in the 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 states the tool performs 'Detailed volume confirmation analysis for a specific coin,' which clearly identifies the verb (analysis) and resource (volume confirmation for a coin). It is more specific than a tautology but does not explicitly distinguish itself from sibling volume-related tools like volume_breakout_scanner or smart_volume_scanner, lacking detail on what 'confirmation' entails.

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. There is no mention of scenarios, prerequisites, or comparison to the many sibling tools. The description only lists arguments, leaving the agent to infer usage from the name alone.

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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