mcp__gemini__create_project_tasks

Automate project task creation by converting requirements into actionable tasks tailored to project type and complexity. Streamline planning and execution with this AI-powered tool.

Instructions

Create project tasks from requirements

Input Schema

TableJSON Schema

Name	Required	Description	Default
`complexity`	No	Complexity level	medium
`project_type`	No	Project type	general
`requirements`	Yes	Project requirements

Implementation Reference

src/tools/registry.js:108-146 (registration)

Complete registration of the 'mcp__gemini__create_project_tasks' tool, including input schema, description, and the full inline handler function that generates tasks using AI and persists to storage.

    this.registerTool(
      'mcp__gemini__create_project_tasks',
      'Create project tasks from requirements',
      {
        requirements: { type: 'string', description: 'Project requirements', required: true },
        project_type: { type: 'string', description: 'Project type', default: 'general' },
        complexity: { type: 'string', description: 'Complexity level', default: 'medium' }
      },
      async (args) => {
        const { requirements, project_type = 'general', complexity = 'medium' } = args;
        validateString(requirements, 'requirements');
        
        const prompt = `Break down these project requirements into specific, actionable tasks:

${requirements}

Project Type: ${project_type}
Complexity: ${complexity}

Create a structured task list with:
1. Clear task descriptions
2. Priority levels (high/medium/low)
3. Estimated effort
4. Dependencies between tasks
5. Implementation order`;

        const taskBreakdown = await aiClient.call(prompt, 'main', { complexity });
        
        // Save to storage
        const taskData = await storage.read('tasks');
        const timestamp = new Date().toISOString();
        taskData.last_requirements = requirements;
        taskData.last_breakdown = taskBreakdown;
        taskData.updated = timestamp;
        await storage.write('tasks', taskData);
        
        return `📋 **Project Tasks Created**\\n\\n${taskBreakdown}`;
      }
    );

src/tools/registry.js:116-145 (handler)

The core handler function for 'mcp__gemini__create_project_tasks' that destructures args, validates input, constructs an AI prompt, calls aiClient to generate task breakdown, persists data to storage, and returns formatted response.

      async (args) => {
        const { requirements, project_type = 'general', complexity = 'medium' } = args;
        validateString(requirements, 'requirements');
        
        const prompt = `Break down these project requirements into specific, actionable tasks:

${requirements}

Project Type: ${project_type}
Complexity: ${complexity}

Create a structured task list with:
1. Clear task descriptions
2. Priority levels (high/medium/low)
3. Estimated effort
4. Dependencies between tasks
5. Implementation order`;

        const taskBreakdown = await aiClient.call(prompt, 'main', { complexity });
        
        // Save to storage
        const taskData = await storage.read('tasks');
        const timestamp = new Date().toISOString();
        taskData.last_requirements = requirements;
        taskData.last_breakdown = taskBreakdown;
        taskData.updated = timestamp;
        await storage.write('tasks', taskData);
        
        return `📋 **Project Tasks Created**\\n\\n${taskBreakdown}`;
      }

src/tools/registry.js:111-115 (schema)

Input schema parameters for the tool defining requirements (required string), project_type, and complexity.

{
  requirements: { type: 'string', description: 'Project requirements', required: true },
  project_type: { type: 'string', description: 'Project type', default: 'general' },
  complexity: { type: 'string', description: 'Complexity level', default: 'medium' }
},

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