feat(telemetry): Integrate AI usage telemetry into update-tasks

This commit applies the standard telemetry pattern to the  command and its corresponding MCP tool.

Key Changes:

1.  **Core Logic ():**
    -   The call to  now includes  and .
    -   The full response  is captured.
    -    (the AI-generated text) is used for parsing the updated task JSON.
    -   If running in CLI mode (),  is called with the .
    -   The function now returns .

2.  **Direct Function ():**
    -   The call to the core  function now passes the necessary context for telemetry (, ).
    -   The successful response object now correctly extracts  and includes it in the  field returned to the MCP client.

mcp-server/src/core/direct-functions/update-tasks.js

@@ -81,7 +81,6 @@ export async function updateTasksDirect(args, log, context = {}) {
 			'json'
 		);
 
-		// updateTasks returns { success: true, updatedTasks: [...] } on success
 		if (result && result.success && Array.isArray(result.updatedTasks)) {
 			logWrapper.success(
 				`Successfully updated ${result.updatedTasks.length} tasks.`
@@ -91,7 +90,8 @@ export async function updateTasksDirect(args, log, context = {}) {
 				data: {
 					message: `Successfully updated ${result.updatedTasks.length} tasks.`,
 					tasksFile,
-					updatedCount: result.updatedTasks.length
+					updatedCount: result.updatedTasks.length,
+					telemetryData: result.telemetryData
 				}
 			};
 		} else {