Single tool 'create_doc_from_markdown' has a complete input schema with proper types and descriptions, meeting baseline requirements. However, the tool description is minimal (47 chars), falling below the 50-200 char LLM-optimized range. No output schema is documented, preventing agents from understanding what the tool returns or chaining results to downstream tools. The tool name is clear and verb-prefixed, but lacks context about prerequisites (OAuth setup, account state) and error recovery paths. No error handling guidance is visible. Overall, the server demonstrates basic schema discipline but lacks the depth needed for production agent integration.

• Expand tool description to 80-150 chars: 'Create a new Google Doc from markdown content. Requires active OAuth token. Returns document ID and shareable URL. Fails if markdown is malformed or quota exceeded, call search_docs() to check available quota first.'
• Document output schema: { document_id: string, title: string, url: string, created_at: ISO8601, owner_email: string }. This enables agents to extract the URL for sharing and the ID for follow-up edits.
• Add error handling guidance: 'If markdown rendering fails, return the invalid line number and suggest simplifying formatting. If OAuth token is stale, guide the user to re-authenticate via docs-smart-auth.'
• Add parameter constraints: title (1-255 chars, no leading/trailing whitespace), markdown (1-1MB, must be valid CommonMark). Include a note: 'Markdown is converted to Google Docs native formatting, some advanced features (tables, code blocks) may render differently.'
• Implement idempotency via optional idempotency_key parameter (UUID). If the same key is passed twice, return the existing document instead of creating a duplicate. Document this in the description.