The server defines 2 tools with basic Zod schemas and Chinese descriptions. Both tools are registered explicitly via server.tool(). However, there are significant quality gaps: (1) Schema completeness is poor, the generate_icon tool has optional parameters without proper enum constraints or validation guidance; (2) Descriptions are present but written in Chinese and lack English context for a global audience; (3) Error handling is minimal and does not guide LLM recovery; (4) Parameter descriptions lack actionable format constraints (e.g., model values are listed in description text, not enums); (5) No output schema documentation, callers cannot plan downstream steps; (6) The search_icons tool accepts a comma-separated string which should either be validated more strictly or converted to a proper array parameter. Tool names (search_icons, generate_icon) follow verb_noun convention, which is positive. However, the definitions fall well short of production readiness.

• Add explicit output schema documentation for both tools. Example for search_icons: 'Returns an array of icon objects with fields: {source: string, name: string, rawSvg: string, svg: string}'. This allows LLMs to plan downstream operations.
• Convert model parameter in generate_icon to a Zod enum: z.enum(['openai', 'tongyi', 'wenxin', 'zhipu', 'kimi', 'doubao']).optional(). Remove the comma-separated list from description text.
• Convert style parameter in generate_icon to an enum: z.enum(['element-plus', 'ant-design', 'default']).
• Change search_icons 'names' parameter from z.string() to z.array(z.string()), eliminating the need for manual comma parsing and making input validation automatic.
• Add limit and offset parameters to search_icons with constraints (e.g., limit: z.number().min(1).max(100).default(20)) and document pagination in the tool description.
• Enrich error messages with recovery guidance. Instead of 'Names parameter is required', return '{error: "Names parameter is required. Pass a comma-separated list or array of icon names, e.g., \"add,delete,edit\"."}' or suggest calling search_icons with example valid input.
• Add English translations alongside Chinese descriptions, or switch to English descriptions if targeting English-speaking LLM agents.
• Document what the generate_icon tool returns when successful. Currently the response says 'Icon generated successfully' but the actual data structure is unclear. Clarify the shape of the 'generatedIcon' object.
• Add a 'description' field constraint explaining valid formats for icon descriptions (e.g., 'Natural language description of the icon, e.g., "a red delete button"').