Three tools with complete input/output schemas and descriptions. Naming follows verb_noun pattern (list, get, clear). Descriptions are adequate (80-180 chars) but lack actionable context for LLM selection. Parameters are typed and constrained (enums, patterns, min/max), but descriptions are minimal or missing for some fields. Output schemas are documented via Pydantic models. Error handling is absent, no recovery guidance or actionable error messages. Security concern: manus_webhook_events_clear is destructive but lacks confirmation/dry-run pattern.

• Add dry-run parameter to manus_webhook_events_clear (e.g., dry_run: bool = true) so agents can preview deletions before committing. Return count of events that would be deleted.
• Expand tool descriptions to 150-250 chars explaining: what data is returned, when to call this tool vs alternatives, and any prerequisites (e.g., 'webhook receiver must be running').
• Add descriptions to all parameters. For event_type, document valid values ('task_created', 'task_stopped'). For order, clarify 'Sort by received_at timestamp (asc=oldest first, desc=newest first)'.
• Implement structured error responses with actionable guidance. E.g., if webhook receiver is not running, return: 'Webhook receiver not running. Start it with: manus-mcp-webhook'. If event_id not found, suggest searching by task_id.
• Add next_cursor or offset/total_pages to WebhookEventsListResponse to enable pagination for large result sets. Document in tool description: 'Returns up to 50 events; use limit and since_received_at to paginate.'

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

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