Three weather tools with complete schemas and reasonable descriptions (120-180 chars each). All parameters have types and descriptions. However, critical issues: (1) npub and dpop_token parameters are marked required in descriptions but have empty string defaults, creating ambiguity about actual requirements; (2) no output schemas documented, LLMs cannot plan downstream operations; (3) error handling absent, no guidance on API failures, invalid coordinates, or date range violations; (4) tool names lack clarity on what distinguishes 'current' from 'forecast' at a glance; (5) parameter descriptions lack constraints (e.g., 'days: 1-16' stated in docstring but not in schema description). Follows basic patterns but falls short of production-grade tool design.

• Document output schemas for all three tools. Example for 'current': {temperature: float, wind_speed: float, weather_code: int, timestamp: string}. This enables LLMs to extract and chain results.
• Move parameter constraints into schema descriptions. Change 'days' description from docstring to: 'Number of forecast days (1-16, default 7).' Repeat for start_date/end_date format requirements.
• Clarify npub/dpop_token requirements. If truly required for billing, remove the empty string default and mark as required. If optional, document the fallback behavior (e.g., 'If omitted, uses default account').
• Add error handling documentation. Document expected failures: 'Invalid coordinates (outside -90..90, -180..180) return 400 with message. Date range >1 year returns 422. API timeout returns 503, retry after 30s.'
• Rename tools to verb_noun pattern: 'get_current_weather', 'get_weather_forecast', 'get_historical_weather'. This improves LLM discoverability and matches production tool naming baselines (90% of A+ tools start with action verbs).

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

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