26 tools with consistent verb-noun naming (get_, list_, describe_, run_, plan_, apply_, ping, export_). All tools have descriptions (avg ~80 chars, baseline 194). Input schemas present for all tools with proper type definitions. However, descriptions are uniformly terse (10-50 chars), below the 50-200 char LLM-optimized range. Output schemas are not documented, responses are JSON strings without field-level documentation. Error handling is minimal; no recovery guidance or actionable error messages visible. Parameter descriptions are present but sparse. No tool annotations (readOnlyHint, destructiveHint, idempotentHint). The apply_script_change tool is high-risk (WRITE) but lacks confirmation/dry-run pattern. Overall: solid naming and basic structure, but descriptions and output documentation fall short of production grade.

• Expand tool descriptions to 50-200 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and WHAT it returns. E.g., 'List all network interfaces on the device. Call this first to see available ports before configuring bridges. Returns interface name, type, status, and MTU.'
• Document output schemas for all tools. Specify returned fields, types, and meanings. E.g., 'Returns {device_names: [string], device_count: int, log_level: string}'. This enables LLMs to chain tools and extract specific fields.
• Add tool annotations via FastMCP metadata: mark read-only tools with readOnlyHint=true, apply_script_change with destructiveHint=true, and idempotent tools with idempotentHint=true.
• Enhance apply_script_change description to emphasize the Safe Mode rollback guarantee and approval workflow. Add a note: 'This tool automatically reverts if the session drops or health check fails. Always call plan_script_change first to review risk.'
• Implement structured error responses with recovery guidance. E.g., 'Device "home" not found. Available devices: [office, lab]. Try describe_device("office").' This enables LLMs to self-correct without extra discovery calls.