PyMCP-SSE provides 6 tools with basic schemas and descriptions, but falls short of production quality. Tool names follow verb_noun convention (echo, get_simulated_weather, send_immediate_notification, schedule_notification, start_periodic_pings, stop_periodic_task), which is good. However, descriptions are minimal (10-60 chars), parameter descriptions are sparse or missing, and output schemas are not documented. No tool annotations (readOnlyHint/destructiveHint) despite clear risk classifications. Error handling and recovery guidance are absent. The server demonstrates basic competence but lacks the depth required for confident agent integration.

• Expand tool descriptions to 150-250 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and what it returns. Example: 'Sends an immediate notification to all connected clients. Use this for urgent alerts that require immediate delivery. Returns notification_id and delivery_status for each client.'
• Document output schemas for all tools. Specify field names, types, and whether results are paginated. Example for send_immediate_notification: '{notification_id: string, delivered_to: number, failed_clients: [string], timestamp: ISO8601}'
• Add tool annotations: mark send_immediate_notification, schedule_notification, start_periodic_pings, stop_periodic_task with destructiveHint=true. Mark echo and get_simulated_weather with readOnlyHint=true.
• Convert type_name parameter to an enum constraint with explicit values: enum=['info', 'warning', 'error', 'data']. Add description: 'Notification severity level. info=informational, warning=caution required, error=failure, data=structured data payload.'
• Add error handling guidance. For schedule_notification, document: 'Returns error if delay_seconds < 0 or > 86400. If task_id collision occurs, returns existing task_id. Retry is safe (idempotent by task_id).'

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

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