Critical gaps across all dimensions. Tool definitions lack visible input schemas in source code, cannot verify parameter types, constraints, or descriptions. Descriptions are minimal (10-30 chars) and do not explain WHEN to use each tool or what it returns. No evidence of output schema documentation. 23 tools registered but schemas not inspectable from provided source. STDIO transport limits remote accessibility. No error handling guidance, no permission gates, no audit trail patterns visible.

• Add explicit JSON Schema input definitions to every tool. Include type, description, enum constraints, and min/max for each parameter. Example: { 'type': 'object', 'properties': { 'component_name': { 'type': 'string', 'description': 'Name of the component to retrieve (case-sensitive)' } }, 'required': ['component_name'] }
• Expand tool descriptions to 50-200 characters. Answer: What does it do? When should the LLM call it? What does it return? Example: 'Retrieve a single component definition by name. Use this after list-components to get detailed schema, props, and usage examples. Returns component metadata and source location.'
• Document output schemas for all tools. Specify returned fields, types, and which fields are safe to pass to downstream tools. Example: 'Returns { component_id: string, name: string, props: object[], source_file: string }'
• Add confirmation/dry-run support to write operations. Implement a 'dry_run' boolean parameter for push-to-figma, update-tokens, and similar tools. Return a preview of changes before committing.
• Implement error recovery guidance. When a tool fails, return actionable next steps. Example: 'Component not found. Call list-components to see available options, or check-setup to verify kit is loaded.'