Tool Description Not Showing Correct Return Type.

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Introduction

When working with tools and agents, it's essential to understand the return types of the functions they provide. In this article, we'll explore a scenario where the tool description is not showing the correct return type. We'll delve into the code provided by the Google ADK documentation and identify the issue.

The Issue

The code provided by the Google ADK documentation uses the google.adk.models.lite_llm module to create a LiteLLM model. However, when we run the code, the logs show that the functions get_weather and get_current_time have a return type of None. This is unexpected, as the functions are designed to return a dictionary with a status and result or error message.

Code Analysis

Let's take a closer look at the code. The get_weather and get_current_time functions are defined as follows:

def get_weather(city: str) -> dict:
  """Retrieves the current weather report for a specified city.

  Args:
      city (str): The name of the city for which to retrieve the weather report.

  Returns:
      dict: status and result or error msg.
  """
  if city.lower() == "new york":
    return {
      "status": "success",
      "report": (
        "The weather in New York is sunny with a temperature of 25 degrees"
        " Celsius (77 degrees Fahrenheit)."
      ),
    }
  else:
    return {
      "status": "error",
      "error_message": f"Weather information for '{city}' is not available.",
    }


def get_current_time(city: str) -> dict:
  """Returns the current time in a specified city.

  Args:
      city (str): The name of the city for which to retrieve the current time.

  Returns:
      dict: status and result or error msg.
  """

  if city.lower() == "new york":
    tz_identifier = "America/New_York"
  else:
    return {
      "status": "error",
      "error_message": (
        f"Sorry, I don't have timezone information for {city}."
      ),
    }

  tz = ZoneInfo(tz_identifier)
  now = datetime.datetime.now(tz)
  report = (
    f"The current time in {city} is {now.strftime('%Y-%m-%d %H:%M:%S %Z%z')}"
  )
  return {"status": "success", "report": report}

As we can see, both functions are designed to return a dictionary with a status and result or error message. However, when we run the code, the logs show that the functions have a return type of None.

Conclusion

In conclusion, the issue lies in the way the google.adk.models.lite_llm module is handling the return types of the functions. The module is not correctly identifying the return types of the functions, resulting in the incorrect display of the return types in the logs.

Solution

To fix this issue, we need to modify the google.adk.models.lite_llm module to correctly identify the return types of the functions. We can do this by adding a return_type attribute to the function definitions and then this attribute to display the correct return type in the logs.

Modified Code

Here's an example of how we can modify the google.adk.models.lite_llm module to correctly identify the return types of the functions:

def get_weather(city: str) -> dict:
  """Retrieves the current weather report for a specified city.

  Args:
      city (str): The name of the city for which to retrieve the weather report.

  Returns:
      dict: status and result or error msg.
  """
  if city.lower() == "new york":
    return {
      "status": "success",
      "report": (
        "The weather in New York is sunny with a temperature of 25 degrees"
        " Celsius (77 degrees Fahrenheit)."
      ),
    }
  else:
    return {
      "status": "error",
      "error_message": f"Weather information for '{city}' is not available.",
    }
  return_type = "dict"

def get_current_time(city: str) -> dict:
  """Returns the current time in a specified city.

  Args:
      city (str): The name of the city for which to retrieve the current time.

  Returns:
      dict: status and result or error msg.
  """

  if city.lower() == "new york":
    tz_identifier = "America/New_York"
  else:
    return {
      "status": "error",
      "error_message": (
        f"Sorry, I don't have timezone information for {city}."
      ),
    }

  tz = ZoneInfo(tz_identifier)
  now = datetime.datetime.now(tz)
  report = (
    f"The current time in {city} is {now.strftime('%Y-%m-%d %H:%M:%S %Z%z')}"
  )
  return {"status": "success", "report": report}
  return_type = "dict"

By adding the return_type attribute to the function definitions, we can correctly identify the return types of the functions and display the correct return type in the logs.

Conclusion

Q: What is the issue with the tool description not showing the correct return type?

A: The issue lies in the way the google.adk.models.lite_llm module is handling the return types of the functions. The module is not correctly identifying the return types of the functions, resulting in the incorrect display of the return types in the logs.

Q: Why is this issue important?

A: This issue is important because it can lead to confusion and errors when working with tools and agents. If the return types of functions are not correctly identified, it can be difficult to understand the output of the functions and make decisions based on that output.

Q: How can I fix this issue?

A: To fix this issue, you need to modify the google.adk.models.lite_llm module to correctly identify the return types of the functions. You can do this by adding a return_type attribute to the function definitions and then displaying the correct return type in the logs.

Q: What are the benefits of correctly identifying the return types of functions?

A: The benefits of correctly identifying the return types of functions include:

  • Improved understanding of the output of functions
  • Reduced errors and confusion when working with tools and agents
  • Improved decision-making based on the output of functions

Q: How can I ensure that the return types of functions are correctly identified?

A: To ensure that the return types of functions are correctly identified, you can:

  • Use a consistent naming convention for return types
  • Use a consistent data type for return values
  • Use a tool or library that can automatically identify the return types of functions

Q: What are some common mistakes that can lead to incorrect return types?

A: Some common mistakes that can lead to incorrect return types include:

  • Using a variable name that is not descriptive of the return type
  • Using a data type that is not consistent with the return type
  • Not using a consistent naming convention for return types

Q: How can I troubleshoot issues with return types?

A: To troubleshoot issues with return types, you can:

  • Use a debugger to step through the code and examine the return values
  • Use a tool or library that can automatically identify the return types of functions
  • Review the code and documentation to ensure that the return types are correctly identified

Q: What are some best practices for working with return types?

A: Some best practices for working with return types include:

  • Using a consistent naming convention for return types
  • Using a consistent data type for return values
  • Documenting the return types of functions clearly and concisely

Q: How can I improve my understanding of return types?

A: To improve your understanding of return types, you can:

  • Read documentation and tutorials on return types
  • Practice working with return types in different programming languages and contexts
  • Join online communities and forums to discuss return types with other developers.