Update docs/platforms/javascript/common/tracing/span-metrics/examples.mdx

Co-authored-by: Alex Krawiec <[email protected]>

Author: codyde

docs/platforms/javascript/common/tracing/span-metrics/examples.mdx

@@ -809,7 +809,7 @@ async function synthesizeResponse(llmResponse: any, toolsUsed: string[]): Promis
 - Tool execution spans (`gen_ai.execute_tool`) monitor each tool call with input/output and timing.
 - Rich attributes enable monitoring of conversation quality, cost, and business outcomes.
 
-What to monitor with span metrics:
+**What to monitor with span metrics:**
 - p95 duration of `op:gen_ai.invoke_agent` grouped by `conversation.resolution_status`.
 - Token usage trends via `gen_ai.usage.total_tokens` by `gen_ai.request.model`.
 - Tool usage patterns via `op:gen_ai.execute_tool` grouped by `gen_ai.tool.name`.