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C0inFlips

binance-mcp-chainvector

by C0inFlips

BinanceTimeWeightedAveragePriceNewOrder

Executes a TWAP order on Binance Futures, splitting the trade over a specified duration to achieve a better average execution price and reduce market impact.

Instructions

The Time-Weighted Average Price (TWAP) New Order API allows users to place a TWAP order on USDⓈ-M Contracts in Binance Futures. TWAP orders execute gradually over a specified duration to achieve a better average execution price while minimizing market impact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideYesTrading side (BUY or SELL)
symbolYesTrading symbol (e.g., BTCUSDT)
durationYesDuration for TWAP orders in seconds. Must be between 300 and 86400
quantityYesQuantity of base asset; Notional must be between 1,000 and 1,000,000 USDT
limitPriceNoLimit price of the order; Defaults to market price if not sent
recvWindowNoTime window for request validity
reduceOnlyNotrue or false. Default false; Cannot be sent in Hedge Mode or when opening a position
clientAlgoIdNoA unique 32-character ID among Algo orders
positionSideNoDefault BOTH for One-way Mode; LONG or SHORT for Hedge Mode. Must be sent in Hedge Mode.
Behavior3/5

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

No annotations exist, so description carries full burden. It discloses the core behavior (gradual execution over duration) and the intended benefit (minimizing market impact), but omits operational details such as order lifecycle, return payload, or permission requirements. This is more than a tautology but leaves significant gaps.

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 two sentences that are front-loaded and free of filler. It efficiently conveys the tool's purpose and mechanism without unnecessary repetition.

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?

As a 9-parameter order placement tool with no output schema and no annotations, the description should explain expected return values, order lifecycle, and how it integrates with related cancel/query tools. The brief description covers the concept but not the operational context needed for an agent.

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 input schema has 100% parameter coverage with detailed descriptions (e.g., duration range, quantity notional limits, positionSide hedge mode rules). The tool description adds no parameter-specific meaning beyond the schema, so the baseline of 3 applies as schema does the heavy lifting.

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?

Description clearly states the tool places a TWAP order on USDⓈ-M Futures contracts, using specific verb 'place' and resource 'TWAP order'. It distinguishes from spot TWAP and other order types by specifying the product and the gradual execution mechanism.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description implies usage context by explaining that TWAP orders execute gradually over a duration to minimize market impact, which suggests when to use it. However, it does not explicitly compare to alternative algorithms like BinanceVolumeParticipationNewTrade or standard market orders, nor state when not to use it.

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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