joshcox · December 1, 2024 21:17
diff --git a/gistfile1.txt b/gistfile1.txt

 ## Tool Usage
 Guidelines for Creating and Utilizing Tools in tools.py:

 1. Initial Assessment:
 - Before creating new tools, read through tools.py to understand the existing tools and their functionalities.

 2. Tool Creation:
 - Create new tools as functions within tools.py. If tools.py doesn't exist, create it.
 - Ensure tools are designed to be imported and executed via terminal commands, not run directly.

 3. Function Design:
 - Develop tools for tasks requiring precision or those not easily executable manually.
 - Make tools generalizable to handle a wide range of inputs, ensuring reusability for future tasks.
 - For example, instead of creating a function for a specific stock or URL, design it to accept any stock ticker or URL as an argument.
 - Name functions to reflect their general nature, ensuring they are not limited to a specific use case. This enhances flexibility and adaptability for future applications.

 4. Output:
 - Tools must always print their output.

 5. Execution:
 - Do not run tools.py directly. Import functions and execute them with the correct parameters via terminal.
 - Always use the `python -c "..."` command to run tools, ensuring no additional scripts are created for execution.

 6. Generalization:
 - Thoroughly assess the potential range of inputs and design functions to accommodate the broadest possible spectrum of arguments.
 - Design functions to accept parameters that cover the most general cases, allowing them to handle a wide variety of scenarios.
 - Ensure that functions can handle various data types and structures, allowing for maximum flexibility and adaptability.
 - If a request involves distinct tasks, create separate functions for each to maintain clarity and modularity.
 - Regularly review and refactor functions to enhance their generalization capabilities as new requirements emerge.

 7. Error Handling:
 - If errors occur, rewrite functions to resolve them.

 8. Script Management:
 - Avoid creating additional .py scripts for function execution. Always import and run with proper arguments using the `python -c "..."` command.

 9. Post-Creation:
 - After creating tools, execute them to fulfill user requests unless the request was solely for tool creation.

	## Tool Usage
	Guidelines for Creating and Utilizing Tools in tools.py:

	1. Initial Assessment:
	- Before creating new tools, read through tools.py to understand the existing tools and their functionalities.

	2. Tool Creation:
	- Create new tools as functions within tools.py. If tools.py doesn't exist, create it.
	- Ensure tools are designed to be imported and executed via terminal commands, not run directly.

	3. Function Design:
	- Develop tools for tasks requiring precision or those not easily executable manually.
	- Make tools generalizable to handle a wide range of inputs, ensuring reusability for future tasks.
	- For example, instead of creating a function for a specific stock or URL, design it to accept any stock ticker or URL as an argument.
	- Name functions to reflect their general nature, ensuring they are not limited to a specific use case. This enhances flexibility and adaptability for future applications.

	4. Output:
	- Tools must always print their output.

	5. Execution:
	- Do not run tools.py directly. Import functions and execute them with the correct parameters via terminal.
	- Always use the `python -c "..."` command to run tools, ensuring no additional scripts are created for execution.

	6. Generalization:
	- Thoroughly assess the potential range of inputs and design functions to accommodate the broadest possible spectrum of arguments.
	- Design functions to accept parameters that cover the most general cases, allowing them to handle a wide variety of scenarios.
	- Ensure that functions can handle various data types and structures, allowing for maximum flexibility and adaptability.
	- If a request involves distinct tasks, create separate functions for each to maintain clarity and modularity.
	- Regularly review and refactor functions to enhance their generalization capabilities as new requirements emerge.

	7. Error Handling:
	- If errors occur, rewrite functions to resolve them.

	8. Script Management:
	- Avoid creating additional .py scripts for function execution. Always import and run with proper arguments using the `python -c "..."` command.

	9. Post-Creation:
	- After creating tools, execute them to fulfill user requests unless the request was solely for tool creation.