diff --git a/.github/workflows/daily-agentrx-trace-optimizer.lock.yml b/.github/workflows/daily-agentrx-trace-optimizer.lock.yml
index 38dff2019f5..4f5aae27ffe 100644
--- a/.github/workflows/daily-agentrx-trace-optimizer.lock.yml
+++ b/.github/workflows/daily-agentrx-trace-optimizer.lock.yml
@@ -1,4 +1,4 @@
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+# gh-aw-metadata: {"schema_version":"v4","frontmatter_hash":"5adce1d918580ec3eaf1eabdfeb27e796d9404c0609868842ad1837f6d572a2a","body_hash":"747e1e939a6ef29e349006d848b54f7acecf2fa7cca5ae09877643ad918968ec","strict":true,"agent_id":"claude","engine_versions":{"claude":"2.1.214"}}
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 # This file was automatically generated by gh-aw. DO NOT EDIT. To debug this workflow, load the skill at https://github.com/github/gh-aw/blob/main/debug.md
 #
diff --git a/.github/workflows/daily-agentrx-trace-optimizer.md b/.github/workflows/daily-agentrx-trace-optimizer.md
index 32982bb0579..528aaaced48 100644
--- a/.github/workflows/daily-agentrx-trace-optimizer.md
+++ b/.github/workflows/daily-agentrx-trace-optimizer.md
@@ -74,7 +74,14 @@ Focus on:
 
 1. Start with `tools.agentic-workflows` MCP tools to download and analyze recent runs:
    - Use `status` to list workflows/runs.
-   - Use `logs` to download parsed logs for recent runs.
+   - Use `logs` to download parsed logs for recent runs, specifying `artifacts: ["agent"]` to include agent telemetry (turns, token usage, stdout) needed for AgentRx trajectory analysis:
+     ```json
+     {
+       "count": 50,
+       "start_date": "-2d",
+       "artifacts": ["agent"]
+     }
+     ```
    - Use `audit` for selected failing or high-latency runs.
 2. Use only MCP-downloaded run data and logs as the telemetry source, prioritizing `runs[]` session fields over OTEL spans.
 3. Use Python in `/tmp/gh-aw/agent/agentrx` to avoid polluting the repository.