diff --git a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
index 4b6617fbeac..cdddfb14697 100644
--- a/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
+++ b/litellm/llms/anthropic/experimental_pass_through/adapters/transformation.py
@@ -767,14 +767,18 @@ class LiteLLMAnthropicMessagesAdapter:
             function_chunk = ChatCompletionToolParamFunctionChunk(
                 name=truncated_name,
             )
-            if "input_schema" in tool:
-                function_chunk["parameters"] = tool["input_schema"]  # type: ignore
+            extra_tool_params = {k: v for k, v in tool.items() if k not in mapped_tool_params}
+            input_schema = tool.get("input_schema")
+            if isinstance(input_schema, dict):
+                function_chunk["parameters"] = {
+                    **copy.deepcopy(input_schema),
+                    **extra_tool_params,
+                }
+            elif extra_tool_params:
+                function_chunk["parameters"] = dict(extra_tool_params)
             if "description" in tool:
                 function_chunk["description"] = tool["description"]  # type: ignore
 
-            for k, v in tool.items():
-                if k not in mapped_tool_params:  # pass additional computer kwargs
-                    function_chunk.setdefault("parameters", {}).update({k: v})
             tool_param = ChatCompletionToolParam(type="function", function=function_chunk)
             self._add_cache_control_if_applicable(tool, tool_param, model)
             new_tools.append(tool_param)  # type: ignore[arg-type]
diff --git a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
index dfe7e0c3a51..9c9d1c90a58 100644
--- a/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
+++ b/tests/test_litellm/llms/anthropic/experimental_pass_through/adapters/test_anthropic_experimental_pass_through_adapters_transformation.py
@@ -1,3 +1,4 @@
+import copy
 import os
 import sys
 from typing import Any, cast
@@ -3147,3 +3148,34 @@ def test_translate_anthropic_tools_to_openai_preserves_parameters_type():
     params = new_tools[0]["function"]["parameters"]
     assert params["type"] == "object"
     assert new_tools[0]["type"] == "function"
+
+
+def test_translate_anthropic_tools_to_openai_does_not_mutate_input_schema():
+    """Regression for #34510: translation must not alias or mutate the caller's
+    input_schema; extra top-level tool keys must not leak back into it."""
+    adapter = LiteLLMAnthropicMessagesAdapter()
+    input_schema = {"type": "object", "properties": {"a": {"type": "string"}}}
+    tools = [
+        {
+            "type": "computer_20250124",
+            "name": "computer",
+            "input_schema": input_schema,
+            "display_width_px": 1024,
+            "display_height_px": 768,
+        }
+    ]
+
+    original_tools = copy.deepcopy(tools)
+    new_tools, _ = adapter.translate_anthropic_tools_to_openai(tools=tools)
+
+    assert input_schema == {"type": "object", "properties": {"a": {"type": "string"}}}
+    assert tools == original_tools
+
+    params = new_tools[0]["function"]["parameters"]
+    assert params is not input_schema
+    assert params["display_width_px"] == 1024
+    assert params["display_height_px"] == 768
+    assert params["type"] == "object"
+
+    second_pass, _ = adapter.translate_anthropic_tools_to_openai(tools=tools)
+    assert second_pass == new_tools