← Heatmap / GPT 5.6 Luna · Task 56
GPT 5.6 Luna* · Tool use · Task 56 (Traps, missing month)
Mean 100.0%
| Field | Expected | Rollout #1 (100%) | Rollout #2 (100%) | Rollout #3 (100%) |
|---|---|---|---|---|
| decision | clarify | clarify | clarify | clarify |
| reason code | MISSING_PAYROLL_MONTH | MISSING_PAYROLL_MONTH | MISSING_PAYROLL_MONTH | MISSING_PAYROLL_MONTH |
| 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 · 6.2s · $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": "2735c93fe2c3ddab-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="2735c93fe2c3ddab-payroll")Tool
{
"kind": "payroll",
"record": {"gross_pay": "3203.76", "allowed_deduction": "359.44"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll_month is missing. Provide the YYYY-MM payroll month so the applicable reference row can be selected."
}
Reasoning
**Clarifying order details** I need to clarify the missing month in the order after the gross amount. It seems like I might not need to do any lookups since it’s specifically about that month. I’ll return a JSON with the exact fields needed to explain the situation and include any optional clauses for further clarification. Plus, I want to make sure to mention the blocker and seek a resolution for that.
Rollout #2 100.0% passed · 2 tool calls · 7.6s · $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": "2735c93fe2c3ddab-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="2735c93fe2c3ddab-payroll")Tool
{
"kind": "payroll",
"record": {"gross_pay": "3203.76", "allowed_deduction": "359.44"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll month is missing. Please provide the payroll month in YYYY-MM format."
}
Reasoning
**Clarifying payroll details** I need to address the missing payroll month before proceeding with any lookup. It's essential to determine the correct order of the rules regarding the missing month. I might not need a reference for this, but I want to be sure to return the exact fields. Clarifying the reasons behind any clauses is important, although I could make that optional. I'll focus on keeping everything in JSON format.
Rollout #3 100.0% passed · 2 tool calls · 7.2s · $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": "2735c93fe2c3ddab-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="2735c93fe2c3ddab-payroll")Tool
{
"kind": "payroll",
"record": {"gross_pay": "3203.76", "allowed_deduction": "359.44"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll_month is missing. Please provide the payroll month in YYYY-MM format."
}
Reasoning
**Clarifying payroll request** I need to address a missing month in the payroll order. It specifies that there's a gross amount but mentions a month is absent. I don’t need to look this up, but I should clarify the missing information. I can output the exact fields that explain the reason while keeping it short. I should also mention that I'm looking for a resolution to this issue using JSON format only.