Source code for tooluniverse.tools.ToolSpecificationGenerator
"""
ToolSpecificationGenerator
Generates complete ToolUniverse-compliant tool specifications based on a description and analysis...
"""
from typing import Any, Optional, Callable
from ._shared_client import get_shared_client
[docs]
def ToolSpecificationGenerator(
tool_description: str,
tool_category: str,
tool_type: str,
similar_tools: str,
existing_tools_summary: str,
*,
stream_callback: Optional[Callable[[str], None]] = None,
use_cache: bool = False,
validate: bool = True,
) -> Any:
"""
Generates complete ToolUniverse-compliant tool specifications based on a description and analysis...
Parameters
----------
tool_description : str
Brief description of the desired tool functionality and purpose.
tool_category : str
Target category for the tool (e.g., 'biomedical', 'data_analysis', 'text_proc...
tool_type : str
Specific ToolUniverse tool type (e.g., 'AgenticTool', 'RESTTool', 'PythonTool').
similar_tools : str
JSON string containing configurations of similar existing tools for analysis ...
existing_tools_summary : str
Summary of existing tools in the ecosystem to avoid duplication and identify ...
stream_callback : Callable, optional
Callback for streaming output
use_cache : bool, default False
Enable caching
validate : bool, default True
Validate parameters
Returns
-------
Any
"""
# Handle mutable defaults to avoid B006 linting error
return get_shared_client().run_one_function(
{
"name": "ToolSpecificationGenerator",
"arguments": {
"tool_description": tool_description,
"tool_category": tool_category,
"tool_type": tool_type,
"similar_tools": similar_tools,
"existing_tools_summary": existing_tools_summary,
},
},
stream_callback=stream_callback,
use_cache=use_cache,
validate=validate,
)
__all__ = ["ToolSpecificationGenerator"]