Handling tool execution results in Agentic AI

Introduction

When an AI agent uses tools, it needs to understand and use the results correctly to make good decisions.

When an AI agent calls a calculator tool and needs the answer to continue.

When a chatbot asks a weather tool for today's forecast and must share it.

When a recommendation system uses a search tool and needs to process the results.

When an AI assistant runs a database query tool and must handle the returned data.

Syntax

Agentic AI

result = tool.execute(input_data)
process(result)

The 'execute' method runs the tool with given input and returns the output.

Always check the result before using it to avoid errors.

Examples

Calls the weather tool with 'New York' and prints the forecast.

Agentic AI

weather_result = weather_tool.execute('New York')
print(weather_result)

Runs a calculator tool and prints the result if available.

Agentic AI

calc_result = calculator.execute('2 + 2')
if calc_result is not None:
    print(f'Result is {calc_result}')

Sample Model

This program defines a simple tool that reverses text. It runs the tool with 'hello' and prints both input and result.

Agentic AI

class SimpleTool:
    def execute(self, input_data):
        # Simulate a tool that returns input reversed
        return input_data[::-1]

# Create tool instance
reverse_tool = SimpleTool()

# Use the tool
input_text = 'hello'
result = reverse_tool.execute(input_text)

# Handle the result
print(f'Input: {input_text}')
print(f'Result from tool: {result}')

Important Notes

Always validate tool results before using them in your AI logic.

Handle cases where the tool might return errors or empty results.

Keep tool execution and result handling separate for clearer code.

Summary

AI agents use tools to get extra information or perform tasks.

Handling tool results correctly helps the agent make better decisions.

Check and process results carefully to avoid mistakes.