Two tools with basic schemas and descriptions, but significant gaps in parameter documentation, output schema clarity, and error handling guidance. Tool 1 ('Get online documentation') has a well-formed input schema with 3 properties, but the description (67 chars) is minimal and lacks context on when to use it vs. Tool 2. Tool 2 ('Search documentation') has an even shorter description (79 chars) and no guidance on what 'previously crawled' means or how results are structured. Neither tool documents output schema, pagination, or error recovery paths. Parameter descriptions are present but generic ('List of search queries...') without format constraints or examples of expected query types. No mention of rate limits, timeouts, or failure modes. Naming is acceptable (verb_noun pattern) but lacks specificity about the crawling mechanism (Puppeteer + Qdrant vector search is hidden from the interface).

• Add explicit output schema documentation for both tools. Example: 'Returns {content: [{type: string, text: string}], metadata: {source_url: string, crawled_at: ISO8601}}' so LLMs know what fields to expect.
• Expand tool descriptions to 100 - 200 chars. Explain the difference: 'Get online documentation crawls a live URL and indexes results; use this for fresh content. Search documentation queries previously indexed docs; use this for fast lookups without network latency.'
• Document the 'queries' parameter format: 'Array of 3+ search terms (5 - 50 chars each). Examples: API method names (e.g., "fetch_user"), configuration keys (e.g., "max_retries"), or conceptual topics (e.g., "error handling").'
• Add error handling guidance: 'If URL is unreachable, returns error with HTTP status. If Qdrant is offline, returns error suggesting retry. If no results found, returns empty content array, try broader queries.'
• Document pagination and result limits: 'Search documentation returns up to 5 results per query. Use multiple queries to explore different aspects of the documentation.'