Single tool with adequate naming and schema but minimal description depth. GetStoreByStaffName follows verb_noun convention and has proper parameter types (string, string) with descriptions. However, the tool description (67 chars) is below the 194-char baseline and lacks context on when to use it, what it returns, or error cases. No output schema documented. No error handling guidance. The tool is read-only but lacks explicit idempotent annotation. Overall structure is present but falls short of production quality.

• Expand tool description to 150-250 chars: 'Retrieve the film store and manager details for a staff member by first and last name. Returns store ID, manager ID, and staff contact info. Use this to find which store a staff member works at. Returns error if staff not found or not assigned to a store.'
• Document output schema explicitly: {staff_name: string, email: string|null, username: string, store_id: int, manager_staff_id: int, last_updated: ISO8601}. Include this in the tool's response type annotation.
• Refactor error responses to structured format: {success: bool, data?: {...}, error?: {code: 'NOT_FOUND'|'NO_STORE', message: string, suggestion?: string}}. This lets LLM distinguish success from failure and know recovery steps.
• Add idempotentHint annotation to tool schema to signal it is safe to retry without side effects.
• Consider adding GetStoresByStaffNames (batch variant) accepting an array of {firstName, lastName} tuples and returning array of results with per-item success/failure.