style: unify code formatting and import order

- Remove trailing whitespace and normalize blank lines
- Unify string quotes and line breaks for long lines
- Sort imports alphabetically across modules

nanobot/agent/tools/base.py

@@ -7,11 +7,11 @@ from typing import Any
 class Tool(ABC):
     """
     Abstract base class for agent tools.
-    
+
     Tools are capabilities that the agent can use to interact with
     the environment, such as reading files, executing commands, etc.
     """
-    
+
     _TYPE_MAP = {
         "string": str,
         "integer": int,
@@ -20,33 +20,33 @@ class Tool(ABC):
         "array": list,
         "object": dict,
     }
-    
+
     @property
     @abstractmethod
     def name(self) -> str:
         """Tool name used in function calls."""
         pass
-    
+
     @property
     @abstractmethod
     def description(self) -> str:
         """Description of what the tool does."""
         pass
-    
+
     @property
     @abstractmethod
     def parameters(self) -> dict[str, Any]:
         """JSON Schema for tool parameters."""
         pass
-    
+
     @abstractmethod
     async def execute(self, **kwargs: Any) -> str:
         """
         Execute the tool with given parameters.
-        
+
         Args:
             **kwargs: Tool-specific parameters.
-        
+
         Returns:
             String result of the tool execution.
         """
@@ -63,7 +63,7 @@ class Tool(ABC):
         t, label = schema.get("type"), path or "parameter"
         if t in self._TYPE_MAP and not isinstance(val, self._TYPE_MAP[t]):
             return [f"{label} should be {t}"]
-        
+
         errors = []
         if "enum" in schema and val not in schema["enum"]:
             errors.append(f"{label} must be one of {schema['enum']}")
@@ -84,12 +84,14 @@ class Tool(ABC):
                     errors.append(f"missing required {path + '.' + k if path else k}")
             for k, v in val.items():
                 if k in props:
-                    errors.extend(self._validate(v, props[k], path + '.' + k if path else k))
+                    errors.extend(self._validate(v, props[k], path + "." + k if path else k))
         if t == "array" and "items" in schema:
             for i, item in enumerate(val):
-                errors.extend(self._validate(item, schema["items"], f"{path}[{i}]" if path else f"[{i}]"))
+                errors.extend(
+                    self._validate(item, schema["items"], f"{path}[{i}]" if path else f"[{i}]")
+                )
         return errors
-    
+
     def to_schema(self) -> dict[str, Any]:
         """Convert tool to OpenAI function schema format."""
         return {
@@ -98,5 +100,5 @@ class Tool(ABC):
                 "name": self.name,
                 "description": self.description,
                 "parameters": self.parameters,
-            }
+            },
         }