Three tools with basic structure but significant gaps. Tool names are action-oriented (createTicket, getTicketStatus, troubleshootIssue) and descriptions exist in Chinese, but lack English translations and depth. Input schemas are visible with type and description fields present. However, output schemas are completely undocumented, LLMs cannot predict what these tools return. Parameter descriptions are minimal (1-2 phrases). No error handling guidance, no pagination support for getTicketStatus (which returns lists), and no indication of idempotency or side effects. The troubleshootIssue tool description mentions 'AI analysis' but does not clarify whether it calls an external LLM or uses local logic. Tool composition is reasonable (three distinct concerns), but parameter naming could be more explicit (e.g., 'issue_description' vs 'issue').

• Document output schemas for all three tools. Specify field names, types, and whether lists are paginated. Example: createTicket returns {ticket_id: string, status: string, created_at: ISO8601, estimated_completion: ISO8601}.
• Add pagination to getTicketStatus: include limit (default 20, max 100), offset, and total_count in response. Describe in tool description: 'Returns up to 20 tickets per call; use offset to fetch more.'
• Provide English descriptions (50-150 chars each) explaining WHEN to use each tool. Example for troubleshootIssue: 'Analyzes a reported issue and suggests self-service troubleshooting steps before opening a ticket. Use this first to reduce unnecessary tickets.'
• Add error handling guidance in descriptions. Example: 'If username not found, call getTicketStatus first to verify the user exists. If issue is empty, return error: "Issue description required (min 10 chars)."'
• Rename parameter 'issue' to 'issue_description' for clarity. Add enum constraint for priority if createTicket accepts it (e.g., priority: enum[LOW, MEDIUM, HIGH, URGENT]).

Inferred effective spec: 2025-06-18+.

• Relies on Sampling (deprecated) - integrate directly with the LLM provider API