Server has 4 tools with complete schemas and descriptions in Chinese. All tools are READ_ONLY and properly registered via McpServer.tool(). Naming follows verb_noun pattern (list_, get_, search_). Schemas use Zod with type constraints (min/max for numbers, string length). However, descriptions are in Chinese (non-standard for LLM optimization), parameter descriptions lack English context for multilingual agents, and output schemas are returned as JSON strings rather than structured objects. Error handling is minimal, get_issue returns isError flag but lacks recovery guidance. No tool annotations (readOnlyHint, idempotentHint) despite all being read-only. Pagination is present (limit/offset) but total count is only in list_issues response, not consistently across tools.

• Translate all tool and parameter descriptions to English (50-200 chars each) for LLM optimization; keep Chinese as secondary documentation
• Return structured objects instead of JSON strings: change content type to application/json or use MCP's structured output format; this eliminates LLM string parsing overhead
• Add tool annotations: set readOnlyHint=true and idempotentHint=true on all four tools to signal safety to agents
• Enhance get_author_info: document what fields are returned (name, bio, topics, subscriber count, etc.) and when to call it (e.g., 'Call before list_issues to provide context')
• Improve error messages: when get_issue fails, suggest 'Try search_content(query=<title>) to find related articles' instead of bare 'content not found'