wfm.accrual_balance_007
validv3goldenauthoredCheck accrual balances — WFM Assistant (Google ADK)
UKGEPIC/wfm-agents · evals/cases/wfm.accrual_balance_007.yaml@ 88e01b2PR #219 · reviewed
One asset → 2 backends— routed centrally by AAG · each grader runs on exactly one engine, so nothing is scored twice
portable-v1 · authored once
wfm.accrual_balance_007
“Check my accruals”
2 concerns · 1 YAML asset · UKGEPIC/wfm-agents
Functional
→ ADK eval
functional@v3 · in-sync
Numeric
→ UKG Deterministic Engine
numeric@v1 · oracle of record · in-sync
The assertion
You have 48.0 hours of PTO, 16.0 hours of sick time, and 8.0 hours of personal time available as of June 29.
Golden context
expected_tools · in_order
get_employee_context → get_accrual_balances
Regulated figures · oracle-checked
pto_balance48.0 h
sick_balance16.0 h
personal_balance8.0 h
Checked against ukg-accrual-engine at tolerance 0 — never an LLM judge.
Compiled → 2 targetswfm.accrual_balance_007.functional.configwfm.accrual_balance_007.numeric.payload all in-sync
Portable eval case
portable-v1input
“Check my accruals”
entities
overlay handles — never raw substrate IDs
employees.standard_accruals_oh→ E-30188 · via wfm/accrual-scenarios@v2 on Calendar@2026.2params
{"as_of":"2026-06-29"}tenant
acme-mfg-oh (sandbox, synthetic)
expected_tools
order: in_order
- 1
get_employee_context - 2
get_accrual_balances
expected_output
You have 48.0 hours of PTO, 16.0 hours of sick time, and 8.0 hours of personal time available as of June 29.
numeric
regulated — never an LLM judge
| pto_balance | 48.0 h | oracle: ukg-accrual-engine | tolerance 0 |
| sick_balance | 16.0 h | oracle: ukg-accrual-engine | tolerance 0 |
| personal_balance | 8.0 h | oracle: ukg-accrual-engine | tolerance 0 |
metadata
pillar:wfmtier:goldenregulated:accrualssensitivity: syntheticpersona: employee
datasets
pinned compositions this case belongs to
kind
drives grader packs
FunctionalTool trajectory, response match, and semantic regression bulk.NumericExact checks against the UKG calculator of record. Never an LLM judge.
Graders
inherited from AAG packs via kind: — each routedFunctionalfunctional@v3inherited→ ADK eval
tool_trajectoryin-order tool match
response_semanticLLM judge
response_lexicalROUGE-1
Numericnumeric@v1inherited→ UKG Deterministic Engine
numeric_exactoracle comparison
Routed, not replicated. Each grader goes to exactly one backend. Nothing is forced onto a backend that cannot express it, and the same case is never scored twice for the same thing.
Routing
concern → backend · centrally owned by AAG| Concern | Backend | Why this backend |
|---|---|---|
| Functional | → ADK eval | Native to the agent runtime — owns the regression bulk (trajectory, ROUGE, semantic judge). |
| Numeric | → UKG Deterministic Engine | Regulated figures are checked against the calculator of record — never an LLM judge. |
Compiled output
2 routed targetsArtifacts generated per routed backend (full compiled view shown on the hero case, hr.policy_carryover_004):
FNwfm.accrual_balance_007.functional.config→ ADK evalin-sync
NMwfm.accrual_balance_007.numeric.payload→ UKG Deterministic Enginein-sync