diff --git a/libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py b/libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py
index 365d36ceb38..46c94c7fb56 100644
--- a/libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py
+++ b/libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py
@@ -111,19 +111,23 @@ class HumanInTheLoopMiddleware(AgentMiddleware):
         """Initialize the human in the loop middleware.
 
         Args:
-            tool_configs: Mapping of tool name to interrupt config.
+            tool_configs: Mapping of tool name to interrupt config (bool | HumanInterruptConfig).
+                * `True` indicates all interrupt config options are allowed.
+                * `False` indicates that the tool is auto-approved.
+                * `HumanInterruptConfig` indicates the specific interrupt config options to use.
             message_prefix: The message prefix to use when constructing interrupt content.
         """
         super().__init__()
         resolved_tool_configs = {}
         for tool_name, tool_config in tool_configs.items():
             if isinstance(tool_config, bool):
-                resolved_tool_configs[tool_name] = HumanInterruptConfig(
-                    allow_approve=tool_config,
-                    allow_ignore=tool_config,
-                    allow_response=tool_config,
-                    allow_edit=tool_config,
-                )
+                if tool_config is True:
+                    resolved_tool_configs[tool_name] = HumanInterruptConfig(
+                        allow_approve=True,
+                        allow_ignore=True,
+                        allow_response=True,
+                        allow_edit=True,
+                    )
             else:
                 resolved_tool_configs[tool_name] = tool_config
         self.tool_configs = resolved_tool_configs
diff --git a/libs/langchain_v1/tests/unit_tests/agents/test_middleware_agent.py b/libs/langchain_v1/tests/unit_tests/agents/test_middleware_agent.py
index f279982426f..8de68ca3a35 100644
--- a/libs/langchain_v1/tests/unit_tests/agents/test_middleware_agent.py
+++ b/libs/langchain_v1/tests/unit_tests/agents/test_middleware_agent.py
@@ -906,6 +906,112 @@ def test_human_in_the_loop_middleware_interrupt_request_structure() -> None:
         assert "Args: {'input': 'test', 'location': 'SF'}" in request["description"]
 
 
+def test_human_in_the_loop_middleware_boolean_configs() -> None:
+    """Test HITL middleware with boolean tool configs."""
+    middleware = HumanInTheLoopMiddleware(tool_configs={"test_tool": True})
+
+    ai_message = AIMessage(
+        content="I'll help you",
+        tool_calls=[{"name": "test_tool", "args": {"input": "test"}, "id": "1"}],
+    )
+    state = {"messages": [HumanMessage(content="Hello"), ai_message]}
+
+    # Test approve
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[{"type": "approve", "tool_call_id": "1"}],
+    ):
+        result = middleware.after_model(state)
+        assert result is not None
+        assert "messages" in result
+        assert len(result["messages"]) == 1
+        assert result["messages"][0].tool_calls == ai_message.tool_calls
+
+    # Test edit
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[
+            {
+                "type": "edit",
+                "tool_call_id": "1",
+                "action": "test_tool",
+                "args": {"input": "edited"},
+            }
+        ],
+    ):
+        result = middleware.after_model(state)
+        assert result is not None
+        assert "messages" in result
+        assert len(result["messages"]) == 1
+        assert result["messages"][0].tool_calls[0]["args"] == {"input": "edited"}
+
+    # Test ignore
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[{"type": "ignore", "tool_call_id": "1"}],
+    ):
+        result = middleware.after_model(state)
+        assert result is not None
+        assert "jump_to" in result
+        assert result["jump_to"] == "model"
+        assert len(result["messages"]) == 1
+        assert isinstance(result["messages"][0], ToolMessage)
+        assert (
+            "User ignored the tool call for `test_tool` with id 1" in result["messages"][0].content
+        )
+
+    # Test response
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[{"type": "response", "tool_call_id": "1", "tool_message": "Custom response"}],
+    ):
+        result = middleware.after_model(state)
+        assert result is not None
+        assert "jump_to" in result
+        assert result["jump_to"] == "model"
+        assert len(result["messages"]) == 1
+        assert isinstance(result["messages"][0], ToolMessage)
+        assert result["messages"][0].content == "Custom response"
+        assert result["messages"][0].status == "error"
+
+    middleware = HumanInTheLoopMiddleware(tool_configs={"test_tool": False})
+
+    result = middleware.after_model(state)
+    # No interruption should occur
+    assert result is None
+
+
+def test_human_in_the_loop_middleware_missing_tool_call_id() -> None:
+    """Test that missing tool call ID in resume raises an error."""
+    middleware = HumanInTheLoopMiddleware(tool_configs={"test_tool": True})
+
+    ai_message = AIMessage(
+        content="I'll help you",
+        tool_calls=[{"name": "test_tool", "args": {"input": "test"}, "id": "1"}],
+    )
+    state = {"messages": [HumanMessage(content="Hello"), ai_message]}
+
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[{"type": "approve"}],  # Missing tool_call_id
+    ):
+        with pytest.raises(
+            ValueError,
+            match=r"Unexpected human response: \{'type': 'approve'\}\. Expected one with `'tool_call_id'` in \['1'\]\.",
+        ):
+            middleware.after_model(state)
+
+    with patch(
+        "langchain.agents.middleware.human_in_the_loop.interrupt",
+        return_value=[{"type": "approve", "tool_call_id": "nonexistent"}],
+    ):
+        with pytest.raises(
+            ValueError,
+            match=r"Unexpected human response: \{'type': 'approve', 'tool_call_id': 'nonexistent'\}\. Expected one with `'tool_call_id'` in \['1'\]\.",
+        ):
+            middleware.after_model(state)
+
+
 # Tests for AnthropicPromptCachingMiddleware
 def test_anthropic_prompt_caching_middleware_initialization() -> None:
     """Test AnthropicPromptCachingMiddleware initialization."""