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Muvon

mcp-binance-futures

by Muvon

get_order_book

Retrieve real-time order book data for Binance USDT-M Futures trading pairs to analyze market depth and liquidity levels.

Instructions

Get order book bids and asks for a symbol.

Returns top limit bids and asks as [[price, qty], ...] lists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesTrading pair, e.g. 'BTCUSDT'
limitNoDepth levels: 5, 10, 20, 50, 100, 500, 1000

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses the return format (lists of [price, qty]) which is valuable behavioral information, but doesn't mention rate limits, authentication requirements, or whether this is real-time or cached data. It adds some context beyond basic purpose.

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?

Two sentences with zero waste. First sentence states purpose, second sentence provides crucial return format information. Perfectly front-loaded and appropriately sized for this tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (which handles return values), 100% parameter schema coverage, and no annotations, the description provides good context about what the tool returns. However, for a financial data tool with no annotations, it could benefit from mentioning rate limits or data freshness.

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?

Schema description coverage is 100%, so the schema already fully documents both parameters. The description adds no additional parameter semantics beyond what's in the schema (e.g., doesn't explain symbol format beyond 'BTCUSDT' or limit implications). Baseline 3 is appropriate when 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?

The description clearly states the verb 'Get' and resource 'order book bids and asks for a symbol', specifying it returns top bids and asks. It distinguishes from siblings like get_ticker (price only) or get_recent_trades (executed trades) by focusing on order book depth.

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?

The description implies usage for retrieving order book data, but doesn't explicitly state when to use this versus alternatives like get_ticker (for last price) or get_recent_trades (for executed trades). No guidance on prerequisites or exclusions is provided.

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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