Critical failures across all dimensions. Tools are registered by name only with no visible input schemas in server-logic.js. Descriptions exist in systemPrompts.js but are system prompts (500+ chars, LLM-optimized for Claude, not tool descriptions). No parameter definitions, no output schemas, no error handling guidance. Tool implementations are stubs returning only the tool name. This is a non-functional skeleton.

• Add input schemas to each tool. Example for generateCodeReact: { type: 'object', properties: { prompt: { type: 'string', description: 'The React component to create (e.g., "a login form with email and password fields")' }, framework_version: { type: 'string', enum: ['18', '19'], description: 'React version to target' } }, required: ['prompt'] }
• Replace system prompts with concise tool descriptions (50 - 150 chars). Example: 'Generates a React component with TypeScript, Tailwind CSS, and responsive design based on a user description. Returns component code and dependency list.' Then move the detailed instructions into the tool implementation or a separate prompt template.
• Implement actual code generation logic. Currently tools are stubs. Integrate with an LLM API (Claude, GPT) or a code generation service to produce real React/Next/Angular/Vue/Node code.
• Add output schema documentation. Example: { type: 'object', properties: { code: { type: 'string', description: 'The generated component code' }, dependencies: { type: 'array', items: { type: 'string' }, description: 'List of npm dependencies (e.g., ["react@18", "tailwindcss@3"])' }, summary: { type: 'string', description: 'One-paragraph summary of what was generated' } } }
• Add error handling with recovery guidance. Example: if code generation fails, return { error: 'Code generation failed: prompt too vague. Try adding specific UI elements (e.g., "form with email input, password input, submit button")' } instead of a generic 500 error.