Single tool with minimal definition quality. Tool name 'get_topic' follows verb_noun convention (+), but description is extremely terse (12 chars, well below 20-char minimum). Input schema present but parameter description is generic. No output schema documented. No error handling guidance. No pagination support despite fetching external API data. Tool returns raw API response text rather than structured output.

• Expand description to 50-150 chars: 'Fetch detailed topic content from Hyperskill by topic ID. Returns title, description, lessons, and related topics. Use search_topics() first if you only have a topic name.'
• Document output schema: specify that response contains {id, title, description, lessons: [{id, title}], related_topics: [...]}, not raw API text.
• Add parameter constraint to description: 'id: Hyperskill topic identifier (numeric or slug format, e.g. "123" or "python-basics")'.
• Implement structured error responses: catch 404 and return 'Topic not found. Available topics can be discovered via search_topics(query).' Catch 5xx and return 'Hyperskill API temporarily unavailable. Retry in 30 seconds.'
• Parse API response JSON and return only relevant fields (title, description, lessons) instead of raw response.text. Reduces token waste and improves LLM reasoning.