SmartCityIotServer exposes 13 tools with basic parameter schemas, but definition quality is hampered by several critical issues: (1) Tool descriptions lack depth and context for LLM selection, most are one-line Portuguese translations without guidance on when/why to use each tool or what data they return. (2) No parameter descriptions visible in any tool, LLMs cannot understand what each field controls or what values are valid. (3) Output schemas are entirely absent, the codebase provides no documentation of what fields these tools return, forcing agents to guess structure. (4) Tool names are action-verb based (list, get, analyze, detect, predict) which is good, but parameter naming uses inconsistent conventions (deviceId vs startTime vs region). (5) No evidence of error handling patterns, recovery guidance, or field matching across tool chains. The tools read as a raw API wrapper rather than a polished agent interface. Average tool score is 42/100.

• Add detailed parameter descriptions to all 13 tools. For each parameter, specify: what it controls, valid range/format, and an example. E.g., 'startTime: Unix timestamp in milliseconds representing the analysis start date (e.g., 1704067200000 for 2024-01-01). Must be ≤ endTime.'
• Expand tool descriptions from one-liners to 50 - 150 chars. Include: what the tool retrieves, when to use it instead of similar tools, and a hint about the output. E.g., 'Lists all active lighting devices in an optional region. Returns device IDs, locations, and current status. Call this first to discover available devices before querying telemetry.'
• Document output schemas for all tools, especially those returning complex data (getCityDashboard, reports, analytics). Specify: field names, types, and which fields are suitable for downstream tool calls. Include example JSON snippets.
• Standardize parameter naming: choose camelCase or snake_case and apply consistently across all tools. Recommend snake_case for broader LLM familiarity (device_id, start_time, health_threshold).
• Add error handling documentation: specify valid ranges for numeric params (e.g., sensitivity in [1 - 100], predictionDays in [1 - 365]), format constraints for timestamps (ISO 8601 or Unix milliseconds), and what happens if values are invalid. Include recovery guidance: 'If startTime is in the future, adjust to current time.'
• Clarify tool overlap by adding disambiguation hints in descriptions. E.g., 'analyzeEnergyConsumption: Detailed per-device energy metrics over a time range (use for specific device analysis). getEnergyEfficiencyReport: City-wide or regional summary with recommendations (use for planning).'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry