Two well-named tools with clear, actionable descriptions and complete input schemas. search_laws and get_law follow verb_noun convention and include helpful context (e.g., 'PREFER OVER WEB SEARCH', example law IDs). Both have required parameters with type and description. However, output schemas are not formally documented, the code shows what fields are returned (law_id, law_num, title, etc.) but no explicit schema declaration for LLM consumption. Error handling is basic (throws on missing args, API errors) without recovery guidance. No parameter constraints (enums, ranges) despite limit accepting 1-50. Descriptions are well-optimized (150-200 chars), exceeding baseline average of 194 chars.

• Add explicit output schema documentation (e.g., in JSDoc or a separate schema export) declaring return field types, so LLMs know what to expect from search_laws and get_law responses.
• Add minValue: 1, maxValue: 50 constraints to the 'limit' parameter schema in search_laws, replacing the description-only range hint.
• Enhance error messages with recovery guidance: 'law_id not found. Use search_laws() to find a valid law_id (e.g., "415AC0000000057").'
• Implement pagination for search_laws: add offset/limit or cursor support to handle queries matching >50 laws, and document in the tool description.
• Provide a get_law_section or similar tool to fetch specific sections of truncated laws, or document the 30KB limit and suggest searching for narrower keywords.