Server has 16 tools with consistent naming (verb_noun pattern) and complete input schemas. Descriptions are present but often generic and lack actionable context. Most parameters have type definitions and descriptions, but many descriptions are under 50 chars and lack guidance on when/why to use tools. Output schemas are not documented, responses are JSON strings without field-level documentation. Error handling is minimal; no recovery guidance or categorization. Security model is sound (OAuth tokens server-side), but no audit logging visible. Composition is good, tools are single-responsibility and chainable via user_google_email parameter.

• Document output schemas for all tools. For search_gmail_messages, specify: {messages: [{id, from, subject, snippet, date}], total_count, next_page_token}. This enables LLMs to chain tools and extract fields.
• Expand generic descriptions to 50-150 chars with actionable context. E.g., 'List all Gmail labels for the account. Use this to discover available labels before filtering messages with search_gmail_messages.' This guides tool selection.
• Add error handling guidance to tool descriptions. E.g., 'If authentication fails, the user must reconnect via list_connected_accounts. If the message is not found, try search_gmail_messages first to verify it exists.'
• Document pagination behavior explicitly. E.g., 'Returns up to page_size results. If total_count > page_size, use next_page_token in a follow-up call to fetch the next batch.'
• Implement server-side audit logging for all write operations. Log caller identity, tool name, parameters (excluding secrets), timestamp, and result. This enables compliance audits and incident investigation.