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Zenobia000

VibeCoding System

by Zenobia000

generate-impl-plan

Create and save a detailed project implementation plan with VibeCoding System’s AI-guided framework to streamline MVP and POC development processes.

Instructions

Generate a project implementation plan and save it

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Core handler function that loads the current project, reads a design-phase template prompt, customizes it with project name, creates directory if needed, writes IMPLEMENTATION_PLAN.md file, and returns success message.
    async generateProjectImplementationPlan(): Promise<string> {
      const project = this.loadCurrentProject();
      if (!project) {
        throw new Error('No active project found. Please start clarification first.');
      }
    
      const promptPath = resolve(__dirname, '../../../.vibecoding/prompts/workflows/design-phase.md');
      let planContent = `Failed to load implementation plan template.`;
      if (existsSync(promptPath)) {
        planContent = readFileSync(promptPath, 'utf-8');
      }
      
      planContent = planContent.replace(/{{projectName}}/g, project.name);
    
      const outputPath = join(project.path, '1_design', 'IMPLEMENTATION_PLAN.md');
      
      mkdirSync(path.dirname(outputPath), { recursive: true });
      writeFileSync(outputPath, planContent);
    
      return `✅ Implementation plan generated and saved to: ${outputPath}`;
    }
  • MCP CallToolRequestSchema handler case for 'generate-impl-plan' that delegates to VibeContextManager.generateProjectImplementationPlan() and returns the result as text content.
    case 'generate-impl-plan': {
      const resultMessage = await contextManager.generateProjectImplementationPlan();
      return {
        content: [
          {
            type: 'text',
            text: resultMessage
          }
        ]
      };
    }
  • Tool registration in ListTools response, including name, description, and empty input schema (no parameters required).
      name: 'generate-impl-plan',
      description: 'Generate a project implementation plan and save it',
      inputSchema: {
        type: 'object',
        properties: {},
        required: []
      }
    }
  • Input schema definition for the tool (empty object, no required params).
        type: 'object',
        properties: {},
        required: []
      }
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool generates and saves a plan, implying a write operation, but doesn't disclose critical traits: whether it requires user input, how it handles errors, what format the output is in, or if there are rate limits. The description is too vague for a mutation tool with zero annotation coverage.

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 with zero waste. It's front-loaded with the core action ('generate') and includes the secondary action ('save it') concisely. Every word earns its place, making it easy to parse quickly.

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

Completeness2/5

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

Given the tool's complexity (generating and saving a plan, implying mutation) and lack of annotations or output schema, the description is incomplete. It doesn't explain what the plan includes, how it's saved, or what the return value is. For a tool with behavioral implications and no structured support, more detail is needed to guide an agent effectively.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add param info, which is appropriate. Baseline is 4 for zero parameters, as there's nothing to compensate for, and the description doesn't contradict the schema.

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 tool's purpose with a specific verb ('generate') and resource ('project implementation plan'), plus an additional action ('save it'). It distinguishes from sibling tools like 'generate-prd' (which creates a different document) and 'provide-clarification'/'start-clarification' (which handle queries rather than planning). However, it doesn't specify what 'save it' entails (e.g., where it's saved), keeping it from a perfect score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing project details first), exclusions (e.g., not for small tasks), or comparisons to siblings like 'generate-prd' (for requirements docs) or clarification tools. Usage is implied only by the tool's name and purpose, lacking explicit context.

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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