diff --git a/tests/claude_code/tool_use_streaming/test_azure.py b/tests/claude_code/tool_use_streaming/test_azure.py
index d2a0d3d190f..da54d1ac93e 100644
--- a/tests/claude_code/tool_use_streaming/test_azure.py
+++ b/tests/claude_code/tool_use_streaming/test_azure.py
@@ -50,7 +50,18 @@ TOOL_USE_ARGS = [
     "dontAsk",
 ]
 
-MIN_STREAM_EVENTS = 4
+# Floor on the number of stream-json records we expect to see for a
+# tool-use turn. A buffered (non-streamed) wire for this multi-turn
+# flow collapses to roughly: one `system` init + one `assistant` with
+# the `tool_use` block + a `user` tool_result + one `assistant` final
+# text + one `result`, i.e. ~5 records (the CLI executes the tool
+# locally and sends the result back, producing a second model turn
+# even on a fully buffered proxy). Real fine-grained streaming
+# produces many more (incremental input_json_delta events,
+# intermediate assistant deltas, etc., typically 15+). We pick a
+# floor comfortably above the buffered case so the assertion catches
+# the regression without being flaky on short responses.
+MIN_STREAM_EVENTS = 8
 
 
 def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
diff --git a/tests/claude_code/tool_use_streaming/test_bedrock_converse.py b/tests/claude_code/tool_use_streaming/test_bedrock_converse.py
index 1d943a57c80..ef80001e389 100644
--- a/tests/claude_code/tool_use_streaming/test_bedrock_converse.py
+++ b/tests/claude_code/tool_use_streaming/test_bedrock_converse.py
@@ -56,7 +56,18 @@ TOOL_USE_ARGS = [
     "dontAsk",
 ]
 
-MIN_STREAM_EVENTS = 4
+# Floor on the number of stream-json records we expect to see for a
+# tool-use turn. A buffered (non-streamed) wire for this multi-turn
+# flow collapses to roughly: one `system` init + one `assistant` with
+# the `tool_use` block + a `user` tool_result + one `assistant` final
+# text + one `result`, i.e. ~5 records (the CLI executes the tool
+# locally and sends the result back, producing a second model turn
+# even on a fully buffered proxy). Real fine-grained streaming
+# produces many more (incremental input_json_delta events,
+# intermediate assistant deltas, etc., typically 15+). We pick a
+# floor comfortably above the buffered case so the assertion catches
+# the regression without being flaky on short responses.
+MIN_STREAM_EVENTS = 8
 
 
 def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
diff --git a/tests/claude_code/tool_use_streaming/test_bedrock_invoke.py b/tests/claude_code/tool_use_streaming/test_bedrock_invoke.py
index eb58373ed4b..fd42aa8f194 100644
--- a/tests/claude_code/tool_use_streaming/test_bedrock_invoke.py
+++ b/tests/claude_code/tool_use_streaming/test_bedrock_invoke.py
@@ -54,7 +54,18 @@ TOOL_USE_ARGS = [
     "dontAsk",
 ]
 
-MIN_STREAM_EVENTS = 4
+# Floor on the number of stream-json records we expect to see for a
+# tool-use turn. A buffered (non-streamed) wire for this multi-turn
+# flow collapses to roughly: one `system` init + one `assistant` with
+# the `tool_use` block + a `user` tool_result + one `assistant` final
+# text + one `result`, i.e. ~5 records (the CLI executes the tool
+# locally and sends the result back, producing a second model turn
+# even on a fully buffered proxy). Real fine-grained streaming
+# produces many more (incremental input_json_delta events,
+# intermediate assistant deltas, etc., typically 15+). We pick a
+# floor comfortably above the buffered case so the assertion catches
+# the regression without being flaky on short responses.
+MIN_STREAM_EVENTS = 8
 
 
 def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool:
diff --git a/tests/claude_code/tool_use_streaming/test_vertex_ai.py b/tests/claude_code/tool_use_streaming/test_vertex_ai.py
index cd63851e86c..3f8d2265a96 100644
--- a/tests/claude_code/tool_use_streaming/test_vertex_ai.py
+++ b/tests/claude_code/tool_use_streaming/test_vertex_ai.py
@@ -53,7 +53,18 @@ TOOL_USE_ARGS = [
     "dontAsk",
 ]
 
-MIN_STREAM_EVENTS = 4
+# Floor on the number of stream-json records we expect to see for a
+# tool-use turn. A buffered (non-streamed) wire for this multi-turn
+# flow collapses to roughly: one `system` init + one `assistant` with
+# the `tool_use` block + a `user` tool_result + one `assistant` final
+# text + one `result`, i.e. ~5 records (the CLI executes the tool
+# locally and sends the result back, producing a second model turn
+# even on a fully buffered proxy). Real fine-grained streaming
+# produces many more (incremental input_json_delta events,
+# intermediate assistant deltas, etc., typically 15+). We pick a
+# floor comfortably above the buffered case so the assertion catches
+# the regression without being flaky on short responses.
+MIN_STREAM_EVENTS = 8
 
 
 def _has_tool_use_event(events: Sequence[Mapping[str, Any]]) -> bool: