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kydlikebtc

binance-mcp-server

by kydlikebtc

binance_server_time

Compare Binance server time with local time to verify synchronization, preventing API call failures from timestamp deviation.

Instructions

🕐 服务器时间同步检查 - API调用时间校准

🔍 功能说明: 获取Binance服务器的当前时间,并与本地时间进行对比分析。用于检查时间同步状态,确保API调用的时间戳验证正确,避免因时间偏差导致的订单失败或API拒绝。

⚠️ 重要提醒: • 时间偏差:超过1000毫秒可能导致API调用失败 • 系统时间:确保本地系统时间准确并自动同步 • 网络延迟:考虑网络传输延迟对时间差的影响 • 定期检查:建议程序化交易系统定期校准时间

🎯 适用场景: • 程序化交易系统启动时检查时间同步状态 • API调用失败时排查时间偏差问题 • 系统监控和运维时间同步状态检查 • 高频交易系统的时间精度校准

⏰ 输出示例: 查询成功后将返回:

🕐 Binance 服务器时间同步检查

⏰ 时间信息:
服务器时间:2024-01-15 15:30:25.847 UTC
本地时间:2024-01-15 15:30:25.923 UTC
时间偏差:-76 毫秒
网络延迟:约 38 毫秒

📊 同步状态分析:
同步状态:✅ 优秀(偏差 < 100ms)
API影响:✅ 无影响
交易影响:✅ 无影响
建议操作:无需调整

⚡ 时间精度评估:
延迟等级:极低延迟
偏差等级:优秀范围
系统状态:时间同步正常
网络状态:连接稳定

💡 同步建议:
当前时间同步状态良好,无需人工调整。
建议程序化交易系统每小时检查一次时间同步。
如偏差超过500毫秒,请检查本地时间设置。
高频交易建议使用NTP服务器保持精确同步。

🔧 故障排除:
• 偏差 > 1000ms:检查系统时间设置和网络连接
• 偏差不稳定:可能存在网络抖动,建议多次测试
• API调用频繁失败:优先检查时间同步状态

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It thoroughly explains that the tool compares server and local times, calculates network delay, and provides a detailed output example including time deviation, sync status, and recommendations. It also warns about the 1000ms threshold and suggests periodic checks, giving complete transparency.

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 well-structured with clear sections (功能说明, 重要提醒, 适用场景, 输出示例, 故障排除) and front-loaded purpose. While it is lengthy, each section provides value, including warnings, use cases, and a detailed output example. It is not unnecessarily bloated, though the extensive emoji-laden output example could be trimmed.

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

Completeness5/5

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

Given there is no output schema and no annotations, the description compensates fully by providing a comprehensive output example, interpretation guidance, and troubleshooting steps. It leaves no gaps about what the tool returns and how to interpret the result, making it complete for a zero-parameter utility tool.

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

Parameters4/5

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

The tool has zero parameters, so the description cannot add parameter-level detail. Per the rubric, the baseline for 0 params is 4. The description adds meaningful context about what the no-input tool does and what output to expect, which is sufficient.

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 tool's function: '获取Binance服务器的当前时间,并与本地时间进行对比分析' (retrieves Binance server time and compares with local time). It uses a specific verb and resource, and it is clearly distinguishable from all sibling tools, which focus on trading, account, or market data.

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

Usage Guidelines4/5

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

The description provides explicit '适用场景' (applicable scenarios) such as checking time sync at startup, troubleshooting API failures, and system monitoring. It gives clear context for when to use the tool, though it does not explicitly mention when not to use it or name alternatives (which are absent among siblings).

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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