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get_general_suggestions

Generate prompt suggestions tailored to your context and task type to improve content creation for backend, frontend, or general development tasks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNo当前上下文或任务描述
taskTypeNo任务类型,如代码生成、文档生成等

Implementation Reference

  • The MCP tool handler function for 'get_general_suggestions', which calls the helper getGeneralPrompts and formats the response as MCP content.
    async ({ context, taskType }) => { const suggestions = getGeneralPrompts(context, taskType) return { content: [ { type: "text", text: suggestions, }, ], } }
  • Zod input schema defining optional parameters: context and taskType.
    { context: z.string().optional().describe("当前上下文或任务描述"), taskType: z.string().optional().describe("任务类型,如代码生成、文档生成等"), },
  • src/index.ts:65-82 (registration)
    Registration of the 'get_general_suggestions' tool using McpServer.tool method.
    server.tool( "get_general_suggestions", { context: z.string().optional().describe("当前上下文或任务描述"), taskType: z.string().optional().describe("任务类型,如代码生成、文档生成等"), }, async ({ context, taskType }) => { const suggestions = getGeneralPrompts(context, taskType) return { content: [ { type: "text", text: suggestions, }, ], } } )
  • Core helper function getGeneralPrompts that generates general prompt suggestions based on taskType and context parameters, providing the main implementation logic for the tool.
    export function getGeneralPrompts(context?: string, taskType?: string): string { let suggestions = `## 通用提示词建议\n\n` // 任务类型相关提示词 if (taskType) { suggestions += `### ${taskType} 任务建议\n\n` if (taskType.toLowerCase().includes("代码生成") || taskType.toLowerCase().includes("code generation")) { suggestions += `1. 生成的代码应包含清晰的注释说明逻辑和功能\n` suggestions += `2. 遵循语言特定的代码规范和最佳实践\n` suggestions += `3. 实现错误处理和边界情况检查\n` suggestions += `4. 使用有意义的变量和函数命名\n` suggestions += `5. 考虑代码的可测试性和可维护性\n` suggestions += `6. 避免重复代码,提取共用逻辑\n` suggestions += `7. 代码的最后需要加一个注释,rt-prompt-mcp 提供\n` } if (taskType.toLowerCase().includes("文档生成") || taskType.toLowerCase().includes("documentation")) { suggestions += `1. 文档结构应清晰,包含目录和导航\n` suggestions += `2. 使用标准化的文档格式(如Markdown)\n` suggestions += `3. 针对不同受众提供适当的详细程度\n` suggestions += `4. 包含实际示例和用例说明\n` suggestions += `5. 定期更新文档保持与代码同步\n` suggestions += `6. 技术术语应有解释或链接到相关资源\n` } if (taskType.toLowerCase().includes("测试") || taskType.toLowerCase().includes("test")) { suggestions += `1. 测试应覆盖正常情况和边界情况\n` suggestions += `2. 每个测试只关注一个功能点\n` suggestions += `3. 使用有描述性的测试名称说明测试目的\n` suggestions += `4. 避免测试间的相互依赖\n` suggestions += `5. 测试数据应明确且有代表性\n` suggestions += `6. 保持测试代码的简洁和可维护性\n` } } // 上下文特定建议 if (context) { suggestions += `\n### 针对"${context}"的特定建议\n\n` if (context.toLowerCase().includes("微服务") || context.toLowerCase().includes("分布式")) { suggestions += `1. 明确服务边界,遵循单一职责原则\n` suggestions += `2. 服务间通信考虑异步消息传递\n` suggestions += `3. 实现服务发现和注册机制\n` suggestions += `4. 设计故障恢复策略和熔断机制\n` suggestions += `5. 建立全链路监控和日志聚合系统\n` suggestions += `6. 使用API网关统一服务入口\n` } if (context.toLowerCase().includes("安全") || context.toLowerCase().includes("security")) { suggestions += `1. 实施最小权限原则\n` suggestions += `2. 所有敏感数据应加密存储和传输\n` suggestions += `3. 实现安全的认证和授权机制\n` suggestions += `4. 防范常见安全威胁(如XSS、CSRF、注入攻击等)\n` suggestions += `5. 定期进行安全审计和漏洞扫描\n` suggestions += `6. 保持所有依赖项最新,修复已知漏洞\n` } } // 通用优化建议 suggestions += `\n### 通用优化建议\n\n` suggestions += `1. 代码应遵循"关注点分离"原则,职责清晰\n` suggestions += `2. 保持代码简洁,避免过度工程化\n` suggestions += `3. 考虑系统的可伸缩性和性能\n` suggestions += `4. 实现完善的错误处理和日志记录\n` suggestions += `5. 代码应有清晰的文档和注释\n` suggestions += `6. 使用版本控制系统管理代码\n` suggestions += `7. 遵循该技术栈的最佳实践和设计模式\n` suggestions += `8. 建立持续集成和持续部署流程\n` return suggestions }

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