Fix SearchResultItem reference error for Gemini CLI

- Fixed search() function to return Dict[str, Any] instead of SearchResponse
- Converted return statements to plain dictionaries
- Deleted unused Pydantic models (SearchResultItem, SearchResponse)
- Eliminates /SearchResultItem references that Gemini CLI cannot resolve
- All MCP tools now compatible with Gemini CLI schema validation

mcp_server_main.py

@@ -1889,18 +1889,6 @@ def get_preview_text(markdown_content: str, skip_chars: int = 100, preview_chars
     return preview.strip()
 
 
-# Pydantic models for ChatGPT Deep Research compatibility
-class SearchResultItem(BaseModel):
-    """Individual search result item for Deep Research."""
-    id: str = Field(..., description="Document identifier")
-    title: str = Field(..., description="Document title with metadata")
-    text: str = Field(..., description="Document preview text")
-    url: str = Field(..., description="Document URL")
-
-class SearchResponse(BaseModel):
-    """Search response wrapper for Deep Research."""
-    results: List[SearchResultItem] = Field(..., description="List of search results")
-
 @app.tool(
     description="DO NOT USE unless you are ChatGPT Deep Research. Search Turkish courts (Turkish keywords only). Supports: +term (must have), -term (exclude), \"exact phrase\", term1 OR term2",
     annotations={
@@ -1911,7 +1899,7 @@ class SearchResponse(BaseModel):
 )
 async def search(
     query: str = Field(..., description="Turkish search query")
-) -> SearchResponse:
+) -> Dict[str, Any]:
     """
     Bedesten API search tool for ChatGPT Deep Research compatibility.
     
@@ -2025,29 +2013,33 @@ async def search(
         """
         
         logger.info(f"ChatGPT Deep Research search completed. Found {len(results)} results via Bedesten API.")
-        return SearchResponse(results=[
-            SearchResultItem(
-                id=item["id"],
-                title=item["title"],
-                text=item["text"],
-                url=item["url"]
-            )
+        return {
+            "results": [
+                {
+                    "id": item["id"],
+                    "title": item["title"],
+                    "text": item["text"],
+                    "url": item["url"]
+                }
                 for item in results
-        ])
+            ]
+        }
         
     except Exception as e:
         logger.exception("Error in ChatGPT Deep Research search tool")
         # Return partial results if any were found
         if results:
-            return SearchResponse(results=[
-                SearchResultItem(
-                    id=item["id"],
-                    title=item["title"],
-                    text=item["text"],
-                    url=item["url"]
-                )
+            return {
+                "results": [
+                    {
+                        "id": item["id"],
+                        "title": item["title"],
+                        "text": item["text"],
+                        "url": item["url"]
+                    }
                     for item in results
-            ])
+                ]
+            }
         raise
 
 @app.tool(