def _convert_call_tool_result(
         call_tool_result: CallToolResult,
     ) -> tuple[str | list[str], list[NonTextContent] | None]:
         text_contents: list[str] = []
         non_text_contents: list[NonTextContent] = []

         # Only iterates through content, never touches structuredContent
         for content in call_tool_result.content:
             if isinstance(content, TextContent):
                 text_contents.append(content.text)
             # ... rest of processing

     from fastmcp import FastMCP
     from mcp.types import CallToolResult, TextContent

     mcp = FastMCP("TestServer")

     @mcp.tool(output_schema={
         "type": "object",
         "properties": {
             "results": {"type": "array"},
             "count": {"type": "integer"}
         }
     })
     async def search(query: str) -> dict:
         results = [
             {"title": "Result 1", "url": "https://example.com/1"},
             {"title": "Result 2", "url": "https://example.com/2"}
         ]
         # This returns both content and structuredContent in MCP
         return {"results": results, "count": 2}

    from langchain_mcp_adapters import load_mcp_tools

    async def test():
        tools = await load_mcp_tools(server_params)
        result = await tools[0].ainvoke({"query": "test"})
        print(result)  # Only contains text content, no structured data!