font-mcp has significant gaps in schema completeness, parameter documentation, and output structure definition. While tool names are reasonably action-oriented and descriptions exist, they lack the precision needed for reliable LLM execution. Most critically: (1) No documented output schemas for any tool, LLMs cannot predict what fields will be returned, breaking downstream tool composition and response parsing. (2) Parameter descriptions are present but generic; many lack constraints, formats, or validation rules. (3) The ListToolsRequestSchema response hardcodes simplified descriptions that differ from the Zod-defined tool definitions, creating inconsistency. (4) Error handling is minimal, most tools return generic text responses without structured error classification. (5) The 'analyze_website' tool lacks input validation (no URL format check in handler, though schema declares .url()). (6) 'setup_font_config' claims to download font files but provides no guidance on licensing, safety, or failure modes. Tool names are moderately good (consult_font_expert, analyze_project_and_recommend, analyze_website, setup_font_config all start with verbs), but descriptions are inconsistent between Zod definitions and ListTools responses.

• Add documented output schemas for all four tools. Example: consult_font_expert should document that it returns a text field containing structured recommendations with font names, links, price info, and use-case guidance. Use JSON Schema to formally describe output structure.
• Consolidate tool definitions. Instead of defining in Zod then re-transcribing in ListToolsRequestSchema, use a single source of truth. Export the Zod schema, convert to JSON Schema once, and reuse in both places.
• Enhance parameter descriptions with explicit constraints and formats. E.g., 'project_path: Absolute local filesystem path to project root (must exist and be readable; /Users/foo/myapp or C:\Users\foo\myapp).' For 'vibe', add: 'A design aesthetic or project category. Examples: luxury, tech-startup, editorial, playful, minimalist. No fixed list, be descriptive.'
• Implement structured error responses. Instead of plain text, return { isError: true, errorType: 'validation|timeout|not_found|permission', message: 'User-friendly message', recoveryHint: 'Try X instead' }. This lets LLMs understand failure types and plan next steps.
• Add validation and bounds to analyze_website response. Cap font list at 20 results, include pagination (has_more, next_offset), and document expected font_name format so downstream setup_font_config calls are unambiguous.
• Document setup_font_config side effects and licensing. Add to description: 'Downloads font files to [temp directory] for testing. Ensure you have appropriate license (open-source, free trial, or commercial license purchased). Files expire after 24 hours. Confirm file downloads succeed before passing font_name to subsequent tools.'