← Heatmap / GPT 5.6 Luna · Task 84
GPT 5.6 Luna* · Tool use · Task 84 (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 · 8.7s · $0.0004
| Component | Score | Clauses |
|---|---|---|
| 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": "b175dda0c6f8b612-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="b175dda0c6f8b612-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-11", "allowed_deduction": "0.00"}
}
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 2026-11."
}
Reasoning
**Clarifying missing data** I see that there are some gaps with the gross values we need. It seems like the order should prioritize the gross figure. The user mentions that a reference is only available for lookup, and I’d want to ensure I clarify that before any calculations or addressing the R7 order. I might need to cite R1 and R7. I should keep the explanation brief while asking for resolution on the specific fields and reasons behind the decision.
Rollout #2 100.0% passed · 2 tool calls · 11.3s · $0.0003
| Component | Score | Clauses |
|---|---|---|
| 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": "b175dda0c6f8b612-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="b175dda0c6f8b612-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-11", "allowed_deduction": "0.00"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_GROSS_PAY",
"clauses": ["R1", "R7"],
"explanation": "Gross pay is missing. Please provide the employee's gross pay."
}
Reasoning
**Clarifying missing gross order** I need to address the missing gross for the current month. It's important to clarify that I should focus on the order of the missing gross first, without needing to look anything up. I want to ensure I have the exact fields needed to clarify the decisions and reasons, with optional explanations included if necessary. It looks like JSON format is the way to structure this. Let's get this sorted out!
Rollout #3 100.0% passed · 2 tool calls · 9.1s · $0.0004
| Component | Score | Clauses |
|---|---|---|
| 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": "b175dda0c6f8b612-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="b175dda0c6f8b612-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-11", "allowed_deduction": "0.00"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_GROSS_PAY",
"clauses": ["R1", "R7"],
"explanation": "Gross pay is missing. Provide the employee's gross pay to proceed."
}
Reasoning
**Clarifying missing gross information** I see that we’re missing the gross data for the current month. I should prioritize ordering the missing gross information first without needing to look it up. It’s clear I need to focus on gathering a JSON format with only the exact fields needed. It’s also okay to include optional explanations for the decision reasons if relevant. I’ll ask about any naming conventions that might be blocking the resolution.