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nirholas

Binance.US MCP Server

by nirholas

binance_us_ticker_24hr

Retrieve 24-hour price change statistics for Binance.US cryptocurrency pairs to analyze market movements and trading performance.

Instructions

Get 24-hour rolling window price change statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoSymbol (e.g., BTCUSD). Cannot use with 'symbols'.
symbolsNoArray of symbols. Cannot use with 'symbol'.
typeNoFULL (default) or MINI (fewer fields).
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Get' and 'price change statistics,' implying a read-only operation, but fails to detail critical aspects like rate limits, authentication requirements, error handling, or the format of returned data. This leaves significant gaps in understanding how the tool behaves in practice.

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, clear sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and efficient, making it easy for an agent to quickly grasp the core functionality.

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 the lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't explain what data is returned (e.g., fields like price change, volume), how to handle multiple symbols, or any dependencies or limitations. For a tool with no structured behavioral hints, this minimal description leaves too many unknowns.

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

Parameters3/5

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

The schema description coverage is 100%, meaning all parameters are documented in the input schema. The description does not add any additional meaning or context beyond what the schema provides, such as examples of valid symbols or implications of the 'type' parameter. This meets the baseline for high schema coverage but doesn't enhance parameter understanding.

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 action ('Get') and resource ('24-hour rolling window price change statistics'), which is specific and informative. However, it doesn't explicitly distinguish this tool from similar siblings like 'binance_us_ticker_price' or 'binance_us_rolling_window', which might also provide price-related data, leaving some ambiguity about its unique function.

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?

The description provides no guidance on when to use this tool versus alternatives, such as other ticker or price-related tools in the sibling list. It lacks context about scenarios where 24-hour statistics are preferred over other metrics, leaving the agent to infer usage based on 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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