Two tools with clear action verbs and detailed descriptions (194 - 250 chars, within baseline). Input schemas present with types and defaults. Tool annotations (READ_ONLY) correctly applied. However, output schemas are undocumented (responses are plain strings, not structured objects), and parameter descriptions lack format/constraint details. Error handling is basic (empty query check, 404 fallback) but lacks actionable recovery guidance for LLMs. No pagination support despite search potentially returning many results.

• Convert string responses to structured JSON objects. baike_search should return {results: [{title, lemma_id, description, url}], total_count, source}. get_baike_entry should return {title, summary, infobox, sections: [{name, content}], url}. This enables reliable field extraction and chaining.
• Add explicit min/max constraints to parameter descriptions. E.g., 'limit: Maximum results (1 - 10, default 5)' and 'max_sections: Sections to extract (1 - 100, default 25)'. Match code constraints in descriptions.
• Implement pagination for baike_search. Add offset/limit or cursor parameters. Return total_count so LLM knows if more results exist. Document in description: 'Returns up to 10 results per page.'
• Rewrite error messages in English with actionable recovery. Instead of '未找到词条建议', return 'No results found for "<query>". Try: (1) search with a shorter keyword, (2) call get_baike_entry(lemma="<query>") to fetch directly, or (3) check spelling.'
• Document lemma_id relationship. Add to description: 'lemma_id: Optional Baidu Baike ID for direct lookup. If provided, bypasses search. If the ID is obsolete (404), the tool retries with lemma name alone.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry