DesignIntelligence provides 5 well-named tools with explicit schemas and descriptions. All tools follow verb_noun naming (search_*, get_*), descriptions are substantial (100-200 chars), and input schemas include type information and parameter descriptions. However, output schemas are undocumented, the code shows return types in docstrings (e.g., 'list[dict]', 'dict') but no formal output schema specification. Error handling is minimal: search_design_patterns and get_design_blueprint can return error dicts but provide no recovery guidance. All tools are read-only, which is appropriate for this domain. The server loads external data (patterns.json, token_sets.json) and resolves indexed references transparently, which is sound design. Parameter defaults are sensible (platform='web', limit=5, detailed=False). Main gaps: (1) no documented output schemas, (2) no recovery hints in error responses, (3) no parameter value constraints beyond descriptions, (4) no batch variants despite patterns.json likely containing many items.

• Define formal output schemas for all 5 tools. For each tool, specify the return fields, types, and descriptions. E.g., search_design_patterns returns list[{id: string, name: string, layout: object, semantic_tokens: object, ...}]. Add to the function docstring or via a JSON Schema reference.
• Convert filter parameters (page_type, industry, color_mode, visual_style) to enums. Call get_design_taxonomy to determine valid values, then hardcode them in the schema. Replace 'Filter by page type (e.g. Dashboard, Pricing, Onboarding)' with 'Filter by page type (enum: Dashboard, Pricing, Onboarding, Landing, Checkout)' or use a JSON Schema enum.
• Add pagination to search_design_patterns. Accept an optional 'offset' or 'cursor' parameter and return a 'next_cursor' or 'total_count' field in the response. This allows agents to iterate beyond the default limit of 5.
• Expand get_behavioral_pattern description and parameter guidance. Explain what behavioral patterns are (e.g., 'Interaction behaviors like click handlers, animation timings, state transitions'), when to use it vs. get_design_blueprint, and how to discover valid pattern names. Suggest calling get_design_taxonomy first or provide a list of common pattern names.
• Add error recovery hints. When get_design_blueprint returns 'not found', include 'Try search_design_patterns(query="...") to find a similar pattern.' When search_design_patterns returns no results, suggest relaxing filters or trying a different query.
• Add parameter constraints where appropriate. E.g., 'limit' should be between 1 and 100 (not unbounded). 'primary_color' should match a hex color pattern ('^#[0-9a-fA-F]{6}$'). Document these constraints in parameter descriptions.