cookbook/environments/_26_multi_step_tools/TEST_LOG.md
Tested 2026-07-20 against gpt-5.5 through OpenAIResponses, Agno 2.7.4.
Status: PASS
Description: Name-only matching across a two-step dispatch lookup.
Result: Live run completed 18/18 scored attempts in 63 seconds.
direct-two-step passed 6/6 (1.00), checksum-eight 4/6 (0.67), and
checksum-nine 6/6 (1.00). The middle checksum row exposed skipped second
lookups while the direct workflow stayed saturated.
Status: PASS
Description: Exact argument matching across both dispatch lookup steps.
Result: Live run completed 12/12 scored attempts in 52 seconds.
route-by-eight matched both exact records 5/6 times (0.83), and
route-by-nine matched them 3/6 times (0.50). Both rows were true partial
binary pass-rate rows.
Status: PASS
Description: Binary code scoring over a dependency-valid three-step execution sequence and its exact records.
Result: The final live run completed 18/18 scored attempts in 66 seconds.
strict-chain passed 6/6 (1.00), route-by-eight 3/6 (0.50), and
route-by-nine 2/6 (0.33). Both checksum rows were true partial binary
pass-rate rows while every passing attempt preserved plan, window, then weather.
The earlier checksum-selected weather-first calibration was discarded because it rewarded a lookup before its governing weather-station value was returned. The corrected version keeps the dependency order fixed and moves difficulty to checksum-selected exact records.