Server has 9 tools with complete JSON Schema definitions and descriptions. Naming follows verb_noun convention (startAutomation, retrieveRunDetails, listSavedFlows, etc.). All tools have descriptions (avg ~80 chars, within baseline 34-392). Schemas use Zod with proper type definitions and descriptions. However, several critical gaps: (1) No output schemas documented, LLMs cannot predict response structure for chaining; (2) Parameter descriptions lack format/constraint details (e.g., 'file_content' says 'Base64 encoded' but no length limits); (3) No error handling guidance, tools return raw API responses without recovery hints; (4) Mutually exclusive parameters (user_id vs project_id) documented but no enum constraints; (5) No pagination support visible despite file operations that could return large results. Tool names are clear but some are compound (uploadMultipleFiles, downloadMultipleFiles), batch variants are acceptable but should document limits.

• Document output schemas for all 9 tools. Example: startAutomation returns {run_id: string, status: string, created_at: ISO8601}. Include all fields agents need for chaining.
• Add pagination to listSavedFlows and listWorkbooks: add 'limit' (1-100, default 20) and 'offset' (default 0) parameters. Return {items: [...], total: number, has_more: boolean}.
• Enhance parameter descriptions with format constraints. E.g., file_content: 'Base64-encoded file content (max 50MB, UTF-8 or binary)'. Add regex patterns or length limits to schema.
• Implement error recovery guidance. Wrap API errors with actionable hints: 'User not found. Call listSavedFlows(project_id=...) to discover valid users.' Use pattern:recovery-guide.
• Add per-item status to batch operations. uploadMultipleFiles should return [{file_name, status: 'success'|'failed', error?: string}] so agents know which files succeeded.