generateContextPrompt

Creates detailed prompts summarizing plan status, including goals and actionable tasks, to provide context for AI decision-making in task management systems.

Instructions

生成一个详细的文本提示，总结计划的当前状态。这个提示可以作为上下文提供给AI模型，以帮助其决定下一步行动。内容包括：总体目标、当前任务、可执行任务列表等。

Input Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Implementation Reference

src/mcplanmanager/app.py:195-206 (handler)

MCP tool handler and registration for 'generateContextPrompt'. Instantiates DependencyPromptGenerator with the global plan_manager and delegates to its generate_context_prompt() method to produce the prompt string.

@mcp.tool()
def generateContextPrompt() -> str:
    """
    生成一个详细的文本提示，总结计划的当前状态。
    这个提示可以作为上下文提供给AI模型，以帮助其决定下一步行动。
    内容包括：总体目标、当前任务、可执行任务列表等。
    """
    from .dependency_tools import DependencyPromptGenerator
    generator = DependencyPromptGenerator(plan_manager)
    prompt = generator.generate_context_prompt()
    return prompt

src/mcplanmanager/dependency_tools.py:181-237 (helper)

Core implementation of the context prompt generation within DependencyPromptGenerator class. Gathers plan status, current task, executable tasks, dependencies, and suggestions to build a comprehensive markdown-formatted prompt string.

def generate_context_prompt(self) -> str:
    """生成上下文感知的提示词"""
    plan_status = self.pm.getPlanStatus()
    if not plan_status["success"]:
        return "Error: Could not get plan status"
    
    dump_result = self.pm.dumpPlan()
    if not dump_result.get("success"):
        return "Error: Could not dump plan data"
    plan_data = dump_result["data"]
    
    goal = plan_data["meta"]["goal"]
    tasks = plan_data["tasks"]
    state = plan_data["state"]
    
    prompt_parts = [
        "# 任务执行上下文",
        f"## 总体目标\n{goal}",
        "",
        "## 当前状态"
    ]
    
    # 当前任务信息
    current_task_response = self.pm.getCurrentTask()
    if current_task_response["success"]:
        task = current_task_response["data"]
        prompt_parts.extend([
            f"- 当前执行任务: [{task['id']}] {task['name']}",
            f"- 任务状态: {task['status']}",
            f"- 执行理由: {task['reasoning']}"
        ])
    else:
        prompt_parts.append("- 当前没有活动任务")
    
    # 可执行任务
    executable = self.pm.getExecutableTaskList()
    if executable["success"] and len(executable["data"]) > 0:
        prompt_parts.append("\n## 可执行任务")
        for task in executable["data"]:
            prompt_parts.append(f"- [{task['id']}] {task['name']}")
    
    # 任务依赖关系
    prompt_parts.extend([
        "",
        "## 任务依赖关系",
        self._generate_dependency_text(tasks)
    ])
    
    # 执行建议
    prompt_parts.extend([
        "",
        "## 执行建议",
        self._generate_execution_suggestions(tasks, state)
    ])
    
    return "\n".join(prompt_parts)

MCPlanManager