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

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

Key Changes:

1.  Core Logic (scripts/modules/task-manager/update-tasks.js):
    -   The call to generateTextService now includes commandName: 'update-tasks' and outputType.
    -   The full response { mainResult, telemetryData } is captured.
    -   mainResult (the AI-generated text) is used for parsing the updated task JSON.
    -   If running in CLI mode (outputFormat === 'text'), displayAiUsageSummary is called with the telemetryData.
    -   The function now returns { success: true, updatedTasks: ..., telemetryData: ... }.

2.  Direct Function (mcp-server/src/core/direct-functions/update-tasks.js):
    -   The call to the core updateTasks function now passes the necessary context for telemetry (commandName, outputType).
    -   The successful response object now correctly extracts coreResult.telemetryData and includes it in the data.telemetryData field returned to the MCP client.

scripts/modules/task-manager/update-tasks.js

@@ -94,10 +94,6 @@ function parseUpdatedTasksFromText(text, expectedCount, logFn, isMCP) {
 			// It worked! Use this as the primary cleaned response.
 			cleanedResponse = potentialJsonFromArray;
 			parseMethodUsed = 'brackets';
-			report(
-				'info',
-				'Successfully parsed JSON content extracted between first [ and last ].'
-			);
 		} catch (e) {
 			report(
 				'info',