Awesome Reviewers

Establish a team-wide error-handling contract:

1) Never swallow exceptions in production paths

2) Fail closed when safety controls can’t be enforced

3) Check both exception paths AND falsy-return failure signals

4) Preserve error meaning in the response contract

5) Maintain your own “best-effort” guarantees

Minimal implementation pattern:

import json
from typing import Any, Dict


def error_response(message: str, error_type: str) -> str:
    return json.dumps({"error": message, "error_type": error_type})


async def tool_impl(user_input: str) -> Dict[str, Any]:
    try:
        # validate input (bad_request)
        if not user_input:
            return json.loads(error_response("Missing input", "bad_request"))

        # service call
        ok = driver_enforce_timeout(user_input)
        if not ok:  # fail closed on falsy return
            return json.loads(error_response("Could not enforce timeout", "service_error"))

        result = driver_execute(user_input)
        if not result:  # fail closed if falsy indicates failure
            return json.loads(error_response("Execution failed", "service_error"))

        return {"status": "success", "data": result}

    except ValueError as e:
        return json.loads(error_response(str(e), "bad_request"))
    except Exception as e:
        # log exception with traceback in real code
        return json.loads(error_response("Service/internal failure", "internal_error"))

Applying this standard will eliminate many recurring review findings: unhandled AWS/driver exceptions ([3]), silent safety-control drops ([4],[5]), lost debug signals ([8],[10]), success-shaped error payloads ([30]), and “best-effort” paths that still raise ([31]).