mcp-binance-futures

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get_order

Retrieve details for a specific Binance USDT-M Futures order using either the Binance order ID or your custom client order ID to monitor trade status and execution.

Instructions

Get details of a specific order by orderId or clientOrderId.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "symbol": "<symbol>"
    },
    "name": "get_order"
  }
}

Input Schema

Name	Required	Description
`symbol`	Yes	Trading pair, e.g. 'BTCUSDT'
`order_id`	No	Binance order ID
`client_order_id`	No	Your custom client order ID

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Mar 12, 2026

TDQS

B3.4/5.0

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a read operation ('Get details'), but doesn't disclose behavioral traits like authentication requirements, rate limits, error conditions, or what happens if multiple identifiers are provided. For a financial API tool with zero annotation coverage, this 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized and front-loaded with the essential information.

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 means the description doesn't need to explain return values) and 100% schema coverage, the description is reasonably complete for a simple lookup tool. However, the lack of behavioral context (especially for a financial API) prevents a perfect score.

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 documents all three parameters thoroughly. The description mentions orderId and clientOrderId but doesn't add meaning beyond what the schema provides about these identifiers. The 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get details') and resource ('specific order'), specifying it retrieves order information by identifiers. It distinguishes from siblings like get_open_orders (which lists multiple orders) and get_order_history (which shows historical orders), but doesn't explicitly name these alternatives.

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 when you need details for a specific order using orderId or clientOrderId, but doesn't explicitly state when to use this versus alternatives like get_open_orders or get_order_history. 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.