Server defines 6 tools with explicit Zod schemas and descriptions in Korean. All tools have type-safe parameter definitions and basic error handling. However, descriptions are brief (20-100 chars) and lack LLM-optimization signals like prerequisites, intent guidance, or recovery paths. No tool annotations (readOnlyHint/destructiveHint) are present despite all tools being READ_ONLY. Output schemas are implicit (text responses) rather than documented. Parameter coverage is good (all have types + descriptions), but descriptions are minimal and don't explain when/why to use each tool relative to others. Naming follows verb_noun conventions adequately.

• Expand tool descriptions to 50-150 characters, including WHEN to use and any prerequisites. Example for generate-image: 'Generate an AI image from a text description. Requires HF_TOKEN environment variable. Returns a URL to the generated image. Note: May consume API quota.'
• Add tool annotations via MCP readOnlyHint. Register each tool with metadata: server.tool(..., {readOnlyHint: true, ...}). For generate-image, consider destructiveHint: true if API quota consumption is considered a side effect.
• Document output schemas explicitly. Define a return type for each tool: {content: [{type: 'text', text: string}], isError?: boolean}. For geocode specifically, consider returning {results: [{address: string, latitude: number, longitude: number}], total_found: number} to enable chaining with get-weather.
• Enhance error messages with recovery guidance. Example: In getTime error, return 'Invalid timezone: {timezone}. Use IANA format (e.g., Asia/Seoul, America/New_York, UTC).' In geocode error, list 2-3 available locations if the address is ambiguous.
• Standardize tool naming to kebab-case (get_time, get_weather, generate_image) or camelCase consistently. Kebab-case is more common in REST API conventions and easier for LLMs to parse.
• Add upfront validation for generate-image: check HF_TOKEN at tool invocation and return a clear error if missing, rather than allowing a failure downstream.
• Provide English descriptions alongside Korean, or document why Korean-only is appropriate for this server's audience. Consider a bilingual description format if the server will be used by international LLM clients.