diff --git a/model-providers/ollama/deployment/src/main/java/io/quarkiverse/langchain4j/ollama/deployment/OllamaProcessor.java b/model-providers/ollama/deployment/src/main/java/io/quarkiverse/langchain4j/ollama/deployment/OllamaProcessor.java
index a74e0adb9..8395f0c59 100644
--- a/model-providers/ollama/deployment/src/main/java/io/quarkiverse/langchain4j/ollama/deployment/OllamaProcessor.java
+++ b/model-providers/ollama/deployment/src/main/java/io/quarkiverse/langchain4j/ollama/deployment/OllamaProcessor.java
@@ -108,7 +108,6 @@ void generateBeans(OllamaRecorder recorder,
                 var builder = SyntheticBeanBuildItem
                         .configure(CHAT_MODEL)
                         .setRuntimeInit()
-                        .setRuntimeInit()
                         .defaultBean()
                         .scope(ApplicationScoped.class)
                         .supplier(recorder.chatModel(config, fixedRuntimeConfig, configName));
diff --git a/model-providers/ollama/deployment/src/test/java/io/quarkiverse/langchain4j/ollama/deployment/ToolsTest.java b/model-providers/ollama/deployment/src/test/java/io/quarkiverse/langchain4j/ollama/deployment/ToolsTest.java
index 09c910b65..3d6847205 100644
--- a/model-providers/ollama/deployment/src/test/java/io/quarkiverse/langchain4j/ollama/deployment/ToolsTest.java
+++ b/model-providers/ollama/deployment/src/test/java/io/quarkiverse/langchain4j/ollama/deployment/ToolsTest.java
@@ -108,10 +108,10 @@ public interface MathAssistant {
     @Test
     @ActivateRequestContext
     void test_multiple_tools() {
-        String msg = "What is the square root of the sum of the numbers of letters in the words " +
+        String msg = "What is the square root with maximal precision of the sum of the numbers of letters in the words " +
                 "\"hello\" and \"world\"";
         String response = mathAssistant.chat(msg);
-        assertThat(response).contains("approximately 3.16");
+        assertThat(response).contains("3.162278");
 
     }
 
diff --git a/model-providers/ollama/runtime/src/main/java/io/quarkiverse/langchain4j/ollama/OllamaDefaultToolsHandler.java b/model-providers/ollama/runtime/src/main/java/io/quarkiverse/langchain4j/ollama/OllamaDefaultToolsHandler.java
index 2ddbbd750..490c52cb0 100644
--- a/model-providers/ollama/runtime/src/main/java/io/quarkiverse/langchain4j/ollama/OllamaDefaultToolsHandler.java
+++ b/model-providers/ollama/runtime/src/main/java/io/quarkiverse/langchain4j/ollama/OllamaDefaultToolsHandler.java
@@ -25,14 +25,14 @@ public class OllamaDefaultToolsHandler implements ToolsHandler {
 
             You must always select one of the above tools and respond with a JSON object matching the following schema,
             and only this json object:
-            {{
+            {
               "tool": <name of the selected tool>,
               "tool_input": <parameters for the selected tool, matching the tool's JSON schema>
-            }}
-            Do not use new tools, just use the ones from the list. Do not forget the parameters in tool_input field.
+            }
+            Do not use other tools than the ones from the list above. Always provide the "tool_input" field.
             If several tools are necessary, answer them sequentially.
 
-            When the user provides sufficient information , answer with the __conversational_response tool.
+            When the user provides sufficient information, answer with the __conversational_response tool.
             """);
 
     static final ToolSpecification DEFAULT_RESPONSE_TOOL = ToolSpecification.builder()
@@ -93,8 +93,7 @@ public AiMessage getAiMessageFromResponse(ChatResponse response, List<ToolSpecif
             // Extract tools
             toolResponse = Json.fromJson(response.message().content(), ToolResponse.class);
         } catch (Exception e) {
-            // No tools found
-            return AiMessage.from(response.message().content());
+            throw new RuntimeException("Ollama server did not respond with valid JSON. Please try again!");
         }
         // If the tool is the final result with default response tool
         if (toolResponse.tool.equals(DEFAULT_RESPONSE_TOOL.name())) {
@@ -104,7 +103,7 @@ public AiMessage getAiMessageFromResponse(ChatResponse response, List<ToolSpecif
         List<String> availableTools = toolSpecifications.stream().map(ToolSpecification::name).toList();
         if (!availableTools.contains(toolResponse.tool)) {
             return AiMessage.from(String.format(
-                    "The LLM wants to call a tool %s that is not part of the available tools %s",
+                    "Ollama server wants to call a tool '%s' that is not part of the available tools %s",
                     toolResponse.tool, availableTools));
         }
         // Extract tools request from response