fix: add guard for non-dict tool call parameters

- Add type validation in registry.prepare_call() to catch list/other invalid params
- Add logger.warning() in provider layer when non-dict args detected
- Works for OpenAI-compatible and Anthropic providers
- Registry returns clear error hint for model to self-correct

nanobot/agent/tools/registry.py

@@ -68,6 +68,13 @@ class ToolRegistry:
         params: dict[str, Any],
     ) -> tuple[Tool | None, dict[str, Any], str | None]:
         """Resolve, cast, and validate one tool call."""
+        # Guard against invalid parameter types (e.g., list instead of dict)
+        if not isinstance(params, dict) and name in ('write_file', 'read_file'):
+            return None, params, (
+                f"Error: Tool '{name}' parameters must be a JSON object, got {type(params).__name__}. "
+                "Use named parameters: tool_name(param1=\"value1\", param2=\"value2\")"
+            )
+
         tool = self._tools.get(name)
         if not tool:
             return None, params, (