Luma Payroll Gym
← Heatmap / GPT 5.6 Luna · Task 48
GPT 5.6 Luna* · Tool use · Task 48 (Traps, missing gross pay) Mean 100.0%
Field Expected Rollout #1 (100%) Rollout #2 (100%) Rollout #3 (100%)
decision clarify clarify clarify clarify
reason code MISSING_GROSS_PAY MISSING_GROSS_PAY MISSING_GROSS_PAY MISSING_GROSS_PAY
clauses R1 R7 R1 R7 R1 R7 R1 R7
Prompt
Process this monthly payroll record under the supplied rulebook. Return the R6 or R7 JSON answer.
Retrieve the case inputs with list_documents and read_document. Reference rows are available only through lookup_reference. Use calculate for exact decimal arithmetic.
Rollouts
Rollout #1 100.0% passed · 2 tool calls · 6.7s · $0.0005
ComponentScoreClauses
decision 100.0% R1 R7
exact 100.0% R1 R7
field accuracy 100.0% R1 R7
citations 100.0% R1 R7
explanation 100.0% R1 R7
Assistant
list_documents()
Tool
[
  {"id": "5e2ce3610eaf2eaa-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="5e2ce3610eaf2eaa-payroll")
Tool
{
  "kind": "payroll",
  "record": {"payroll_month": "2026-09"}
}
Assistant
{
  "decision": "clarify",
  "reason_code": "MISSING_GROSS_PAY",
  "clauses": ["R1", "R7"],
  "explanation": "The gross pay is missing. Please provide gross_pay for payroll month 2026-09."
}
Reasoning
**Clarifying order requirements**

I need to address a missing gross amount in the order, which says to clarify before looking up. The order seems to indicate that I should retrieve reference rows. The user mentions a lookup but it doesn't address the missing gross. Instructions say to retrieve case inputs, but missing gross might require me to specify exact fields. I think I should keep the explanation short and focus on clauses R1 and R7 to ensure clarity.
Rollout #2 100.0% passed · 2 tool calls · 6.7s · $0.0004
ComponentScoreClauses
decision 100.0% R1 R7
exact 100.0% R1 R7
field accuracy 100.0% R1 R7
citations 100.0% R1 R7
explanation 100.0% R1 R7
Assistant
list_documents()
Tool
[
  {"id": "5e2ce3610eaf2eaa-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="5e2ce3610eaf2eaa-payroll")
Tool
{
  "kind": "payroll",
  "record": {"payroll_month": "2026-09"}
}
Assistant
{
  "decision": "clarify",
  "reason_code": "MISSING_GROSS_PAY",
  "clauses": ["R1", "R7"],
  "explanation": "Gross pay is missing. Please provide the employee's gross pay for payroll month 2026-09."
}
Reasoning
**Clarifying requirements**

I realize that I need to address the missing gross data first in the order. There’s no need to look it up. I should return the exact fields for clarification, ensuring they’re named correctly. Although an explanation is optional, I think I might still include a brief one that names the blocker and asks for a resolution. I’ll focus on providing the information in JSON format only.
Rollout #3 100.0% passed · 2 tool calls · 6.6s · $0.0003
ComponentScoreClauses
decision 100.0% R1 R7
exact 100.0% R1 R7
field accuracy 100.0% R1 R7
citations 100.0% R1 R7
explanation 100.0% R1 R7
Assistant
list_documents()
Tool
[
  {"id": "5e2ce3610eaf2eaa-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="5e2ce3610eaf2eaa-payroll")
Tool
{
  "kind": "payroll",
  "record": {"payroll_month": "2026-09"}
}
Assistant
{
  "decision": "clarify",
  "reason_code": "MISSING_GROSS_PAY",
  "clauses": ["R1", "R7"],
  "explanation": "Gross pay is missing. Please provide the employee's gross pay for payroll month 2026-09."
}
Reasoning
**Clarifying output requirements**

I need to address the missing gross and clarify the order before referencing anything. It seems that I shouldn't need to look this up. My goal is to ensure that the outputs include the exact fields and clarify decisions, reasons, and any optional clauses. I must mention any blockers and request resolutions to keep everything clear. Also, I should stick to using JSON format only.