Post-Tool Patterns for State and Response Handling

Implement a pattern within an endpoint to transform or enrich the tool's response data before it is returned to the AI model.

Design a simple in-memory dictionary to act as a state manager, analogous to 'slots' in conversational AI.

Modify a tool's endpoint logic to set a 'slot' in the state manager after successfully executing.

Create a second tool that reads a value from the state manager to influence its own execution logic.