diff --git a/Program.cs b/Program.cs
index 641dd42..135193c 100644
--- a/Program.cs
+++ b/Program.cs
@@ -116,20 +116,30 @@ async Task<HttpResponseMessage> PostWithRetryAsync(string requestUri, object bod
     name: "tavily_search",
     description: "A search engine optimized for comprehensive, accurate, and trusted results.");
 
-// Microsoft Learn's remote MCP server exposes docs search/fetch tools the
-// Researcher can call alongside Tavily for authoritative Microsoft/Azure content.
-await using McpClient microsoftLearnMcp = await McpClient.CreateAsync(
-    new HttpClientTransport(new HttpClientTransportOptions
-    {
-        Endpoint = new Uri("https://learn.microsoft.com/api/mcp"),
-        Name = "microsoft-learn",
-    }));
-IList<McpClientTool> microsoftLearnTools = await microsoftLearnMcp.ListToolsAsync();
-
-List<AIFunction> researcherTools = [tavilyTool, .. microsoftLearnTools];
-
 // Creating a callable object
 using ILoggerFactory loggerFactory = LoggerFactory.Create(builder => builder.AddConsole());
+ILogger startupLogger = loggerFactory.CreateLogger("BlogWriter.Startup");
+
+// Microsoft Learn's remote MCP server exposes docs search/fetch tools the
+// Researcher can call alongside Tavily for authoritative Microsoft/Azure content.
+// If the remote endpoint is unreachable/slow/erroring at startup, don't let it
+// take down the whole app — fall back to Tavily-only tools.
+List<AIFunction> researcherTools = [tavilyTool];
+try
+{
+    McpClient microsoftLearnMcp = await McpClient.CreateAsync(
+        new HttpClientTransport(new HttpClientTransportOptions
+        {
+            Endpoint = new Uri("https://learn.microsoft.com/api/mcp"),
+            Name = "microsoft-learn",
+        }));
+    IList<McpClientTool> microsoftLearnTools = await microsoftLearnMcp.ListToolsAsync();
+    researcherTools.AddRange(microsoftLearnTools);
+}
+catch (Exception ex)
+{
+    startupLogger.LogWarning(ex, "Microsoft Learn MCP server unavailable; continuing with Tavily-only research tools.");
+}
 
 var bloggerAgent = new BloggerAgent(llm, chatOptions, loggerFactory.CreateLogger<BloggerAgent>());
 var researcherAgent = new ResearcherAgent(llm, chatOptions, researcherTools, loggerFactory.CreateLogger<ResearcherAgent>());
diff --git a/ResearcherAgent.cs b/ResearcherAgent.cs
index 65f6bd5..0d809af 100644
--- a/ResearcherAgent.cs
+++ b/ResearcherAgent.cs
@@ -58,9 +58,8 @@ public ResearcherAgent(IChatClient llm, ChatOptions chatOptions, IEnumerable<AIF
         .Use(async (agent, context, next, cancellationToken) =>
         {
             _logger.LogInformation(
-                "Researcher invoking tool '{Tool}' with arguments {Arguments}",
-                context.Function.Name,
-                context.Arguments);
+                "Researcher invoking tool '{Tool}'...",
+                context.Function.Name);
 
             return await next(context, cancellationToken);
         })