Two dynamically-generated tools with significant definition gaps. Tool 1 (dynamic_event_tools) has a generic description that doesn't explain WHEN to use it or what each generated tool does. Tool 2 (dynamic_list_tools) lacks any description entirely. Parameter descriptions are minimal ('Event-specific parameters derived from...' is vague). No output schema documented. No error handling guidance. No indication of which operations are destructive vs. safe. Tool names follow a pattern but lack action verbs (should be 'execute_event' or 'trigger_event', not just the event name). The dynamic nature makes it impossible to verify individual tool quality without runtime inspection.

• Add a description to dynamic_list_tools: 'Lists all instances of this model type. Call this first to discover available model IDs before executing events.'
• Enhance dynamic_event_tools description to include: 'Executes a state machine event on a model instance. Requires a valid modelID (obtain via {model_name}_list). Returns success/failure with result data or error details.'
• Document the output schema for both tools. E.g., dynamic_event_tools returns {success: boolean, data?: object, error?: string}. dynamic_list_tools returns array of model objects with their fields.
• Add parameter constraints to eventParameters: 'Object with keys matching the event's parameter names. Types: String, Int, Long, Float, Boolean, Ref. Invalid keys are ignored; missing required keys cause an error.'
• Implement error recovery hints: if modelID is invalid, return 'Model ID not found. Available models: [list]. Call {model_name}_list to see all IDs.' This guides the LLM to self-correct.

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

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