← Heatmap / GPT 5.6 Luna · Task 89
GPT 5.6 Luna* · Tool use · Task 89 (Retrieval, contribution rate)
Mean 100.0%
| Field | Expected | Rollout #1 (100%) | Rollout #2 (100%) | Rollout #3 (100%) |
|---|---|---|---|---|
| decision | retrieve | retrieve | retrieve | retrieve |
| field | contribution_rate | contribution_rate | contribution_rate | contribution_rate |
| value | 0.05 | 0.05 | 0.05 | 0.05 |
| clauses | R1 R3 | R1 R3 | R1 R3 | R1 R3 |
Prompt
Retrieve contribution_rate from the supplied rulebook. Return the R8 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 · 3 tool calls · 6.6s · $0.0003
| Component | Score | Clauses |
|---|---|---|
| decision | 100.0% | R1 R3 |
| exact | 100.0% | R1 R3 |
| field accuracy | 100.0% | R1 R3 |
| citations | 100.0% | R1 R3 |
Assistant
list_documents()Tool
[
{"id": "6198d6e0c2d80f90-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="6198d6e0c2d80f90-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-08"}
}
Assistant
lookup_reference(reference="second-half")Tool
{
"reference": "second-half",
"months": ["2026-07", "2026-12"],
"rate": "0.05",
"cap": "4500.00",
"deduction": "400.00",
"free": "1000.00",
"upper": "3300.00",
"middle_rate": "0.10",
"upper_rate": "0.24"
}
Assistant
{
"decision": "retrieve",
"field": "contribution_rate",
"value": "0.05",
"clauses": ["R1", "R3"]
}
Rollout #2 100.0% passed · 3 tool calls · 8.0s · $0.0004
| Component | Score | Clauses |
|---|---|---|
| decision | 100.0% | R1 R3 |
| exact | 100.0% | R1 R3 |
| field accuracy | 100.0% | R1 R3 |
| citations | 100.0% | R1 R3 |
Assistant
list_documents()Reasoning
**Organizing tool retrieval** I need to use tools for this task. First, I should list the documents and look them up—maybe in parallel since I don't know the specific month. I think it makes sense to retrieve the case inputs and reference rows as well. So, starting with listing documents and then looking them up in parallel sounds like a good approach. Getting those documents first will help clarify things!
Tool
[
{"id": "6198d6e0c2d80f90-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="6198d6e0c2d80f90-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-08"}
}
Assistant
lookup_reference(reference="second-half")Tool
{
"reference": "second-half",
"months": ["2026-07", "2026-12"],
"rate": "0.05",
"cap": "4500.00",
"deduction": "400.00",
"free": "1000.00",
"upper": "3300.00",
"middle_rate": "0.10",
"upper_rate": "0.24"
}
Assistant
{
"decision": "retrieve",
"field": "contribution_rate",
"value": "0.05",
"clauses": ["R1", "R3"]
}
Reasoning
**Retrieving JSON Fields** I need to ensure I'm retrieving the exact JSON fields. August falls in the second half of the year, right? Although labels like "first-half" and "second-half" usually reference periods, my lookup shows that second-half months are July through December. I should focus on clauses R1 and R3. Oh, and the value string is set at 0.05! Just a reminder to be precise in this step.
Rollout #3 100.0% passed · 3 tool calls · 6.1s · $0.0003
| Component | Score | Clauses |
|---|---|---|
| decision | 100.0% | R1 R3 |
| exact | 100.0% | R1 R3 |
| field accuracy | 100.0% | R1 R3 |
| citations | 100.0% | R1 R3 |
Assistant
list_documents()Tool
[
{"id": "6198d6e0c2d80f90-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="6198d6e0c2d80f90-payroll")Tool
{
"kind": "payroll",
"record": {"payroll_month": "2026-08"}
}
Assistant
lookup_reference(reference="second-half")Tool
{
"reference": "second-half",
"months": ["2026-07", "2026-12"],
"rate": "0.05",
"cap": "4500.00",
"deduction": "400.00",
"free": "1000.00",
"upper": "3300.00",
"middle_rate": "0.10",
"upper_rate": "0.24"
}
Assistant
{
"decision": "retrieve",
"field": "contribution_rate",
"value": "0.05",
"clauses": ["R1", "R3"]
}