> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/more-in-this-section-6/agent-tool-regressions.md).

# Recipe: detect tool-call regressions in agents

Recipe — detect tool-call regressions. Pointer to the SDK code-review cowork sample.

Canonical samples:

* [`samples/cowork/code_review.py`](https://github.com/layerlens/stratix-python/blob/main/samples/cowork/code_review.py) — Instrumentor-Reviewer pattern: one agent uploads code traces, another evaluates with code-execution, security, and metrics judges.
* [`samples/core/trace_investigation.py`](https://github.com/layerlens/stratix-python/blob/main/samples/core/trace_investigation.py) — surface errors, latency outliers, anomalies in trace data.

## Pattern

Capture full agent traces including tool-call spans. Build a judge whose rubric forbids specific tool calls in specific contexts (e.g., destructive APIs only when input scope says `allowed`). Run via `client.trace_evaluations.create(trace_id=, judge_id=)`. Compare to baseline via `samples/core/compare_evaluations.py`.

## See also

* [Industry pattern: insurance missed escalation](/4.2-industry-use-cases/pattern-3.md)
* [Concept: Agentic evaluation](/8.-evaluate-score-the-outputs/agentic-evaluation.md)