diff --git a/docker/run-chrome.sh b/docker/run-chrome.sh
index d41832b..d1d5e05 100755
--- a/docker/run-chrome.sh
+++ b/docker/run-chrome.sh
@@ -13,6 +13,11 @@ export DISPLAY=:1
 # broadcast-visible Google/YouTube search. Bound to loopback (same container).
 exec google-chrome \
   --no-sandbox --no-first-run --disable-dev-shm-usage \
+  --test-type \
+  --disable-infobars \
+  --no-default-browser-check \
+  --disable-translate \
+  --disable-features=Translate,TranslateUI,InfoBars \
   --remote-debugging-port="${CDP_PORT:-9222}" \
   --remote-debugging-address=127.0.0.1 \
   --user-data-dir="${CHROME_PROFILE_DIR:-/root/chrome-profile}" \
diff --git a/src/jarvis/reply/engine.py b/src/jarvis/reply/engine.py
index 7473dfe..4960846 100644
--- a/src/jarvis/reply/engine.py
+++ b/src/jarvis/reply/engine.py
@@ -1470,7 +1470,18 @@ def run_reply_engine(db: "Database", cfg, tts: Optional[Any],
     # can't recognise. The markdown-fence format is explicit in the system prompt, so the
     # model has a concrete template to follow. Using text tools from the start also avoids
     # the wasted round-trip and prompt confusion of starting native and falling back mid-turn.
-    use_text_tools = (model_size == ModelSize.SMALL)
+    # …BUT some small models emit clean native tool calls (qwen2.5/qwen3,
+    # llama3.x, mistral). Forcing text tools on those suppresses tool use almost
+    # entirely — the model just narrates ("부산 날씨는 맑습니다") and never emits a
+    # call, so getWeather/webSearch/controlBrowser never run. Use native for the
+    # tool-capable families (native still auto-falls-back to text on HTTP 400);
+    # only genuinely non-tool small models (e.g. gemma) default to text.
+    _model_l = (cfg.ollama_chat_model or "").lower()
+    _native_capable = any(k in _model_l for k in (
+        "qwen2.5", "qwen2", "qwen3", "llama3.1", "llama3.2", "llama3.3",
+        "mistral", "hermes", "command-r", "firefunction",
+    ))
+    use_text_tools = (model_size == ModelSize.SMALL) and not _native_capable
     prompts = get_system_prompts(model_size)
     debug_log(f"Model size detected: {model_size.value} for {cfg.ollama_chat_model} (use_text_tools={use_text_tools})", "planning")