The server has 4 well-named tools with complete input schemas and consistent descriptions. Tool names follow verb_noun convention (createSearch, getSearch, getNote, getNoteContent), which is excellent for LLM comprehension. All tools are read-only, which is appropriate. However, output schemas are completely undocumented, there is no specification of what fields these tools return, making it difficult for LLMs to plan downstream operations or extract required data for chaining. Parameter descriptions are present and reasonably detailed (e.g., maxResults with min/max bounds, format with enum choices), but some lack actionable context (e.g., 'Natural language search query' without guidance on what patterns work best). Error handling is not visible in the provided code, no error recovery guidance, no categorization of retryable vs user-fixable failures. Tool composition is good: each tool has a single responsibility. Security appears sound (read-only operations, no credential parameters visible), but logging/audit patterns are not evident.

• Add complete output schema documentation for each tool. For createSearch, specify: { notes: [ { guid: string, title: string, created: ISO8601, updated: ISO8601, notebook: string } ], totalCount: number, hasMore: boolean }. For getNote and getNoteContent, document all returned fields.
• Add error recovery guidance to tool descriptions. E.g., createSearch: 'If no results found, try simplifying the query or removing date filters. If the search times out, reduce maxResults or add a notebookName filter.'
• Expand getSearch and getNote parameter descriptions to include: expected format of searchId and noteGuid, how users typically obtain these IDs (from previous createSearch/getNote calls), and what error to expect if invalid.
• Document pagination behavior for createSearch. Clarify: 'Use offset + maxResults to paginate through results. If totalCount > offset + maxResults, more results are available. Set maxResults ≤ 20 for faster responses.'
• Implement and expose error response schemas in tool definitions. Categorize as [retryable, user-fixable, unrecoverable]. Example: { error: 'INVALID_SEARCH_QUERY', message: 'Query contains only stopwords. Try adding at least one meaningful term.', retryable: false }.