fix: add type ignore comments for field_validator in feedback tool

Add type: ignore[misc] comments to @field_validator decorators to suppress
mypy warnings about decorator usage with Pydantic v2. This is a cosmetic
fix to improve type checking compatibility.

Changes:
- Added type: ignore[misc] to validate_feedback validator
- Added type: ignore[misc] to validate_account_id validator
- Added type: ignore[misc] to validate_tool_names validator
- Minor formatting improvements for consistency

Author: ryoppippi

stackone_ai/feedback/tool.py

@@ -24,7 +24,7 @@ class FeedbackInput(BaseModel):
     account_id: str | list[str] = Field(..., description="Account identifier(s) - single ID or list of IDs")
     tool_names: list[str] = Field(..., min_length=1, description="List of tool names")
 
-    @field_validator("feedback")
+    @field_validator("feedback")  # type: ignore[misc]
     @classmethod
     def validate_feedback(cls, v: str) -> str:
         """Validate that feedback is non-empty after trimming."""
@@ -33,7 +33,7 @@ def validate_feedback(cls, v: str) -> str:
             raise ValueError("Feedback must be a non-empty string")
         return trimmed
 
-    @field_validator("account_id")
+    @field_validator("account_id")  # type: ignore[misc]
     @classmethod
     def validate_account_id(cls, v: str | list[str]) -> list[str]:
         """Validate and normalize account ID(s) to a list."""
@@ -53,7 +53,7 @@ def validate_account_id(cls, v: str | list[str]) -> list[str]:
 
         raise ValueError("Account ID must be a string or list of strings")
 
-    @field_validator("tool_names")
+    @field_validator("tool_names")  # type: ignore[misc]
     @classmethod
     def validate_tool_names(cls, v: list[str]) -> list[str]:
         """Validate and clean tool names."""
@@ -120,31 +120,19 @@ def execute(
                         "tool_names": tool_names,
                     }
                     result = super().execute(validated_arguments, options=options)
-                    results.append({
-                        "account_id": account_id,
-                        "status": "success",
-                        "result": result
-                    })
+                    results.append({"account_id": account_id, "status": "success", "result": result})
                 except Exception as exc:
                     error_msg = str(exc)
-                    errors.append({
-                        "account_id": account_id,
-                        "status": "error",
-                        "error": error_msg
-                    })
-                    results.append({
-                        "account_id": account_id,
-                        "status": "error",
-                        "error": error_msg
-                    })
+                    errors.append({"account_id": account_id, "status": "error", "error": error_msg})
+                    results.append({"account_id": account_id, "status": "error", "error": error_msg})
 
             # Return combined results
             return {
                 "message": f"Feedback sent to {len(account_ids)} account(s)",
                 "total_accounts": len(account_ids),
                 "successful": len([r for r in results if r["status"] == "success"]),
                 "failed": len(errors),
-                "results": results
+                "results": results,
             }
 
         except json.JSONDecodeError as exc:
@@ -176,7 +164,7 @@ def create_feedback_tool(
     name = "meta_collect_tool_feedback"
     description = (
         "Collects user feedback on StackOne tool performance. "
-        "First ask the user, \"Are you ok with sending feedback to StackOne?\" "
+        'First ask the user, "Are you ok with sending feedback to StackOne?" '
         "and mention that the LLM will take care of sending it. "
         "Call this tool only when the user explicitly answers yes."
     )