← Heatmap / GLM 5.3 Flash · Task 88
GLM 5.3 Flash · Tool use · Task 88 (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 · 6.6s · $0.0007
| 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()Reasoning
Let me start by listing the documents to get the case inputs.
Tool
[
{"id": "53bdb78b6184cd21-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="53bdb78b6184cd21-payroll")Tool
{
"kind": "payroll",
"record": {"gross_pay": "2924.24", "allowed_deduction": "307.83"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll record supplies gross_pay (2924.24) and allowed_deduction (307.83) but omits payroll_month entirely. R1 requires a payroll month in YYYY-MM format (year 2000\u20132099) to select the applicable reference row, and R7 item 2 requires clarification when payroll_month is missing. Please provide the payroll month so the correct reference row can be selected and the payslip calculated; no monetary results are returned for this record."
}
Reasoning
The payroll record has gross_pay "2924.24" and allowed_deduction "307.83", but no payroll_month. Per R7, missing payroll_month → clarify with reason_code "MISSING_PAYROLL_MONTH", citing R1 and R7.
Wait, let me double check the document — it only shows gross_pay and allowed_deduction. No payroll_month field. So clarification is required.
Order of checks in R7:
1. Missing gross_pay — gross_pay is present ("2924.24").
2. Missing payroll_month — missing → clarify MISSING_PAYROLL_MONTH.
Return JSON with decision: "clarify", reason_code: "MISSING_PAYROLL_MONTH", clauses: ["R1", "R7"], and a short explanation naming the unresolved blocker and asking for its resolution.
The allowed_deduction is present but structurally valid? R7 says "Monetary values present in a trap record must still obey R2 and the applicable deduction cap." But since we can't calculate without a month, we just clarify. Do not return calculated monetary fields.
Answer format: clarify uses decision, reason_code, clauses. Optional explanation string permitted. Money fields not included.
Rollout #2 100.0% passed · 2 tool calls · 7.2s · $0.0006
| 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()Reasoning
Let me start by listing the documents to see what inputs are available.
Tool
[
{"id": "53bdb78b6184cd21-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="53bdb78b6184cd21-payroll")Reasoning
Let me read the payroll document.
Tool
{
"kind": "payroll",
"record": {"gross_pay": "2924.24", "allowed_deduction": "307.83"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll record supplies gross_pay (2924.24) and allowed_deduction (307.83) but no payroll_month. Under R1 a payroll month in YYYY-MM format is required, and R7 step 2 mandates clarification with reason_code MISSING_PAYROLL_MONTH when it is absent. Please provide the payroll month so the applicable reference row can be selected and the payslip calculated."
}
Reasoning
The payroll record has gross_pay = 2924.24 and allowed_deduction = 307.83, but no payroll_month. Let me check the reference tables too — but first, the missing payroll_month triggers R7 clarification step 2: Missing payroll_month → clarify with reason_code "MISSING_PAYROLL_MONTH", citing R1 and R7. Wait, but the order of checks: 1. Missing gross_pay — no, gross_pay is present. 2. Missing payroll_month — yes, it's missing. So clarify with MISSING_PAYROLL_MONTH. But should I still look up the reference? The record has no payroll_month, so no reference row can be selected. The clarification is correct. I don't need lookup_reference since the month is absent. Actually, let me double-check the document — maybe there's more info. The document only shows gross_pay and allowed_deduction. No payroll_month, no amendment, no contract_gross_pay. Per R7 order: 1. Missing gross_pay? No — gross_pay = 2924.24 present. 2. Missing payroll_month? Yes → clarify, reason_code MISSING_PAYROLL_MONTH, citing R1 and R7. No monetary fields returned. Missing required values include explicit null — but for clarify, the answer fields are decision, reason_code, clauses, plus optional explanation. I shouldn't include monetary fields. The instruction says "Missing required values include explicit null" — hmm, but the allowed answer fields for clarify are decision, reason_code, clauses. So I just return those plus explanation. I don't need lookup_reference or calculate here since we cannot determine the month. Let me produce the JSON. Output JSON without Markdown fences, no surrounding prose. Fields: decision: "clarify", reason_code: "MISSING_PAYROLL_MONTH", clauses: ["R1", "R7"], explanation: short explanation naming the unresolved blocker and asking for its resolution.
Rollout #3 100.0% passed · 2 tool calls · 8.1s · $0.0008
| 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()Reasoning
Let me start by listing the documents and reading them. I also need to check the reference tables via lookup_reference. First, list documents.
Tool
[
{"id": "53bdb78b6184cd21-payroll", "kind": "payroll"}
]
Assistant
read_document(document_id="53bdb78b6184cd21-payroll")Tool
{
"kind": "payroll",
"record": {"gross_pay": "2924.24", "allowed_deduction": "307.83"}
}
Assistant
{
"decision": "clarify",
"reason_code": "MISSING_PAYROLL_MONTH",
"clauses": ["R1", "R7"],
"explanation": "The payroll record supplies gross_pay (2924.24) and allowed_deduction (307.83) but omits payroll_month entirely. R1 requires a payroll month in YYYY-MM format to select the applicable reference row, and R7 requires clarification when payroll_month is missing. Please provide the payroll month (must be within 2026) so the correct reference row can be selected and the payslip calculated."
}
Reasoning
The payroll record has gross_pay "2924.24" and allowed_deduction "307.83", but no payroll_month. Wait — let me check. The record shows only gross_pay and allowed_deduction. Missing payroll_month → clarify with MISSING_PAYROLL_MONTH per R7 step 2.
Wait, but let me double-check: the record is `{"kind": "payroll", "record": {"gross_pay": "2924.24", "allowed_deduction": "307.83"}}`. Indeed no payroll_month. So decision: clarify, reason_code: MISSING_PAYROLL_MONTH, citing R1 and R7.
Order of checks: 1. Missing gross_pay — present. 2. Missing payroll_month — missing → clarify MISSING_PAYROLL_MONTH.
Should I still check lookup_reference? Not needed since month is missing. But maybe I should verify there's no month elsewhere... The document only has that. So clarify.
For clarification: include a short explanation naming the unresolved blocker and asking for its resolution. Fields: decision, reason_code, clauses. Allowed fields for clarify: decision, reason_code, clauses. Plus optional explanation string.
Money fields not returned for clarify cases. Do not include gross_pay etc.
Answer JSON:
{"decision": "clarify", "reason_code": "MISSING_PAYROLL_MONTH", "clauses": ["R1", "R7"], "explanation": "..."}