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C0inFlips

binance-mcp-chainvector

by C0inFlips

BinanceAggTrades

Retrieve compressed aggregate trade data for any Binance trading pair, with options to filter by time range or trade ID.

Instructions

Get compressed, aggregate trades for a specific trading pair.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoDefault 500; max 1000
fromIdNoID to get aggregate trades from
symbolYesSymbol of the trading pair (e.g., BTCUSDT)
endTimeNoEnd time in milliseconds
startTimeNoStart time in milliseconds
Behavior2/5

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

There are no annotations, so the description must carry the full burden of behavioral disclosure. It only mentions 'compressed, aggregate trades', offering minimal insight into pagination, time-filter behavior, or whether this is a public read operation. No details are given about response format or rate limits, leaving significant behavioral ambiguity.

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 a single sentence with no redundancy, front-loading the key action and object. It is appropriately concise, though slightly under-specified. No unnecessary words are present, so it earns a high score for conciseness despite the lack of detail.

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?

With 5 parameters, no output schema, and no annotations, the description is too minimal to give the agent a complete picture. It doesn't mention return types, default behaviors, time range handling, or how aggregate trades differ from raw trades. The tool is relatively complex, and the description leaves substantial gaps.

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 covers 100% of parameters with descriptions, so the baseline is 3. The tool description adds limited value by framing the data as 'compressed, aggregate trades', but it does not elaborate on parameter semantics beyond the schema. Thus, it neither enhances nor detracts significantly from the schema's clarity.

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 a specific verb ('Get') and resource ('compressed, aggregate trades for a specific trading pair'), which clearly conveys the tool's function. The term 'aggregate' distinguishes it from similar trade-related tools like BinanceHistoricalTrades or BinanceGetTrades, though it could be more explicit about the aggregation concept.

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 BinanceKlines or BinanceHistoricalTrades. With many sibling market-data tools, the absence of usage context or exclusions leaves the agent to infer when this tool is appropriate.

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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