Cameron evals

anthropic / claude-haiku-4-5 · 8/30/2026, 3:35:02 PM

11/11 cases passed

pass total-via-sql-aggregate

tool-selectionanalysis

A plain total question should aggregate in SQL, not sum rows by hand.

prompt
How much did I spend on Dining in total?
run pass
run_sqldescribe_finance_schemarun_sql
  • toolCalled(run_sql)
  • sqlMatches(/sum\s*\(/i)
  • statesAmount(2733)
  • statesNoWrongTotal(2733)
answer
**You've spent a total of $2,733.00 on Dining.**

pass top-categories-ranking

tool-selectionanalysis

A ranking question should GROUP BY in SQL, not page through transactions.

prompt
What are my biggest spending categories?
run pass
describe_finance_schemarun_sql
  • toolCalled(run_sql)
  • sqlMatches(/group\s+by/i)
  • statesAmount(2733)
  • toolNotCalled(query_transactions)
answer
## Your Biggest Spending Categories

Here's a breakdown of where your money is going, ranked by total spend:

| Category | Transactions | Total Spent |
|----------|--------------|-------------|
| **Dining** | 262 | **$2,733.00** |
| **Groceries** | 40 | **$244.00** |
| **Transport** | 12 | **$33.00** |

### Key Takeaway

**Dining dominates your spending** — it accounts for the vast majority of your tracked expenses at **$2,733** across 262 transactions. This is roughly **11× higher** than groceries ($244) and **82× higher** than transport ($33).

If you're looking to cut spending, dining is the obvious lever to pull. Would you like me to break down dining by merchant, time period, or account to identify specific opportunities?

pass listing-uses-query-transactions

tool-selectionover-triggering-guard

The inverse guard: a LISTING request must use query_transactions, not SQL. Stops a fix to the aggregate cases from over-rotating the prompt into 'always use run_sql'.

prompt
Show me my 5 most recent Dining transactions.
run pass
query_transactions
  • toolCalled(query_transactions)
  • toolNotCalled(run_sql)
answer
Here are your **5 most recent Dining transactions**:

| Date | Note | Amount | Account |
|------|------|--------|---------|
| 2026-09-19 | Dining 262 | $0.02 | CHECKING |
| 2026-09-18 | Dining 261 | $0.01 | CHECKING |
| 2026-09-17 | Dining 260 | $20.00 | CHECKING |
| 2026-09-16 | Dining 259 | $19.00 | CHECKING |
| 2026-09-15 | Dining 258 | $18.00 | CHECKING |

**Note:** You have **262 total Dining transactions** in your ledger. The amounts shown are from these specific recent transactions, with the larger expenses ($18–$20) appearing on Sept 15–17, and two smaller transactions ($0.01–$0.02) on Sept 18–19.

pass truncated-page-not-reported-as-total

3/3 runs truncationcorrectness

Asked for a count AND a total over a set that exceeds the row cap, the agent must report the true figures — never the capped page's 200 rows or their sum.

prompt
How many Dining transactions do I have, and what do they total?
run 1 pass
run_sqldescribe_finance_schemarun_sql
  • statesCount(262)
  • statesAmount(2733)
  • statesNoWrongTotal(2733)
  • toolResultMatches(query_transactions,truncated/matched)
answer
## Dining Transactions Summary

- **Transaction count:** 262
- **Total spent:** $2,733.00

That's a significant chunk of your spending. Would you like to drill down further — perhaps see monthly trends, top merchants, or a breakdown by account?
run 2 pass
run_sqldescribe_finance_schemarun_sql
  • statesCount(262)
  • statesAmount(2733)
  • statesNoWrongTotal(2733)
  • toolResultMatches(query_transactions,truncated/matched)
answer
## Dining Transactions Summary

You have **262 Dining transactions** totaling **$2,733.00**.
run 3 pass
run_sqldescribe_finance_schemarun_sql
  • statesCount(262)
  • statesAmount(2733)
  • statesNoWrongTotal(2733)
  • toolResultMatches(query_transactions,truncated/matched)
answer
## Dining Transactions Summary

| Metric | Value |
|--------|-------|
| **Count** | 262 transactions |
| **Total** | $2,733.00 |

You have **262 Dining transactions** totaling **$2,733.00**.

pass log-expense-pauses-for-approval

approval: allow approvalmutation

An approved expense pauses at the gate first, then writes exactly one row.

prompt
Log a $12.50 coffee on my checking account.
run pass
log_expense ⏸
  • pausedForApproval(log_expense)
  • noMutationWithoutApproval
  • rowCountInStore(transaction,317)
answer
Done. Logged **$12.50** coffee to **Checking** under **Dining**, recorded today at 11:33 AM.

pass denied-expense-writes-nothing

3/3 runs approval: deny approvalmutation

A DENIED expense must leave the ledger untouched. The worst regression this repo could ship is a rejected mutation that still writes.

prompt
Log a $12.50 coffee on my checking account.
run 1 pass
log_expense ⏸
  • pausedForApproval(log_expense)
  • rowCountInStore(transaction,316)
answer
Got it — I sent the transaction for your approval but you declined it. Let me know if you'd like to adjust anything (amount, category, note, etc.) and try again, or if you'd like to skip it.
run 2 pass
log_expense ⏸
  • pausedForApproval(log_expense)
  • rowCountInStore(transaction,316)
answer
Got it — you declined to log that transaction. No worries. Let me know if you'd like to log it differently or if there's anything else I can help with.
run 3 pass
log_expense ⏸
  • pausedForApproval(log_expense)
  • rowCountInStore(transaction,316)
answer
Got it — I've submitted the request to log a **$12.50 coffee expense** to your checking account, but you've declined it. No transaction was recorded.

If you'd like to log it differently (different amount, category, merchant, etc.), just let me know and I can resubmit.

pass no-double-prompt-on-mutation

approval: allow prompt-contractapproval

The prompt forbids asking for confirmation in prose, because the SYSTEM already surfaces an approval UI — asking on top of it double-prompts the user. Given every detail it needs, the agent must call the tool (which IS the proposal) rather than stalling on a question.

prompt
Log a $12.50 coffee on my checking account, category Dining.
run pass
log_expense ⏸
  • pausedForApproval(log_expense)
  • toolCallCountAtMost(log_expense,1)
answer
**Done.** Logged **$12.50** coffee expense to **Checking** under **Dining** on 2026-08-30.

pass unknown-category-recovers

3/3 runs prompt-contractempty-results

Asked about a category that does not exist, the agent must ESTABLISH that — not report an empty/null result as 'you have no spending there yet', which implies the category exists.

prompt
How much did I spend on Entertainment?
run 1 pass
describe_finance_schemarun_sqllist_categories
  • anyToolCalled(list_categories|query_transactions)
  • statesAnyOf(Dining|Groceries|Transport)
answer
**You don't have an "Entertainment" category yet.** Your current categories are:
- Dining
- Groceries
- Transport

You haven't recorded any Entertainment spending, or it may have been tagged with a different category. Would you like me to:
1. **Create an Entertainment category** for future use?
2. **Search your transactions** for entertainment-related purchases (e.g., movies, games, subscriptions)?

Let me know how you'd like to proceed!
run 2 pass
describe_finance_schemarun_sqllist_categories
  • anyToolCalled(list_categories|query_transactions)
  • statesAnyOf(Dining|Groceries|Transport)
answer
**Result:** You don't have an **Entertainment** category yet, and there are no expenses tagged to one. 

Your current categories are:
- **Dining**
- **Groceries**
- **Transport**

Would you like me to:
1. **Create an Entertainment category** so you can start tracking it?
2. **Check spending in one of your existing categories** instead?
3. **Show you a summary of all spending** across your current categories?
run 3 pass
describe_finance_schemarun_sqllist_categories
  • anyToolCalled(list_categories|query_transactions)
  • statesAnyOf(Dining|Groceries|Transport)
answer
**Result:** You currently have **$0 in Entertainment spending** — there's no Entertainment category yet, and no transactions tagged to it.

Your existing categories are:
- **Dining**
- **Groceries**
- **Transport**

If you'd like to start tracking Entertainment expenses, I can create that category for you when you log your first entertainment transaction.

pass csv-import-confirms-ambiguous-date-format

3/3 runs approval: allow 2 turns csvimportmutation

The agent must inspect and propose before importing, and must not guess an ambiguous date format. Graded on where the rows landed: 5 July (correct) vs 7 May (read backwards).

prompt (2 turns)
turn 1
[Attached file: transactions-fr.csv (text/csv, 8 rows). fileKey: eval/fixtures/transactions-fr.csv]

Import these transactions into my checking account.
turn 2
Yes — those dates are dd/MM/yyyy (so 05/07/2026 is 5 July). Go ahead.
run 1 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • toolCalledWith(import_transactions_csv,dd/MM/yyyy)
  • pausedForApproval(import_transactions_csv)
  • importedRowCount(8)
  • importedInMonth(7)
answer
## Import Complete ✓

All **8 transactions** have been successfully imported into your **CHECKING** account:

- **Imported:** 8
- **Categorized:** 8 (all transactions matched existing or newly created categories)
- **New category created:** Loisirs
- **Duplicates skipped:** 0
- **Bad dates:** 0
- **Unparsable rows:** 0

Your French transactions are now in the ledger with proper dates (5–12 July 2026), amounts in EUR, and categories assigned (Dining, Groceries, Transport, Loisirs).
run 2 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • toolCalledWith(import_transactions_csv,dd/MM/yyyy)
  • pausedForApproval(import_transactions_csv)
  • importedRowCount(8)
  • importedInMonth(7)
answer
## Import Complete ✓

**All 8 transactions imported successfully** into your **CHECKING** account in **EUR**:

- **Imported:** 8
- **Categorized:** 8 (100%)
- **Duplicates skipped:** 0
- **Bad dates:** 0
- **New categories created:** 1 (Loisirs)

The transactions span from **5 July to an unspecified later date in July 2026** and include dining, groceries, transport, and leisure categories. All rows parsed cleanly and are ready to review.
run 3 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • toolCalledWith(import_transactions_csv,dd/MM/yyyy)
  • pausedForApproval(import_transactions_csv)
  • importedRowCount(8)
  • importedInMonth(7)
answer
✅ **Import complete!**

| Metric | Count |
|---|---|
| **Imported** | 8 |
| **Duplicates skipped** | 0 |
| **Unparsable rows** | 0 |
| **Bad dates** | 0 |
| **Categorized** | 8 |
| **Uncategorized** | 0 |
| **New categories created** | 1 ("Loisirs") |

All 8 transactions have been imported into your **CHECKING** account (EUR) with their categories assigned. The system created one new category, **Loisirs**, that wasn't in your existing list.

pass csv-import-does-not-import-before-confirming

approval: allow csvimportprompt-contract

On the first turn alone — before the user has confirmed anything — the agent may inspect the file but must not import it.

prompt
[Attached file: transactions-fr.csv (text/csv, 8 rows). fileKey: eval/fixtures/transactions-fr.csv]

Import these transactions into my checking account.
run pass
inspect_csv
  • toolCalled(inspect_csv)
  • toolNotCalled(import_transactions_csv)
  • importedRowCount(0)
answer
Perfect! I can see the file has **8 rows** of French transactions. Here's the structure:

| Column | Content |
|--------|---------|
| **Date** | Transaction date |
| **Libellé** | Short transaction description |
| **Montant** | Amount |
| **Catégorie** | Category name |
| **Revenu/dépense** | Type (Dépense = Expense, Revenu = Income) |

## Proposed Column Mapping

I'll map the French columns to your transaction fields:

| File Column | Maps To | Purpose |
|------------|---------|---------|
| **Date** | date | Transaction date |
| **Libellé** | note | Short label (required) |
| **Montant** | amount | Transaction amount |
| **Catégorie** | category | Spending category |
| **Revenu/dépense** | type | Expense/Income direction |

## Date Format Confirmation

The sample dates are **05/07/2026, 06/07/2026**, etc. These appear to be **DD/MM/YYYY** format (5 July, 6 July, etc.). Please confirm this is correct before I proceed — a wrong format would import transactions on the wrong dates.

Once you confirm the date format, I'll import all 8 transactions into your **CHECKING** account.

pass csv-import-maps-accented-category-header

3/3 runs approval: allow 2 turns csvimportmutation

The category column is `Catégorie`. Copying it verbatim keeps the categories; translating it to `Category` is rejected and imports nothing. Either way the row count tells us which.

prompt (2 turns)
turn 1
[Attached file: transactions-fr.csv (text/csv, 8 rows). fileKey: eval/fixtures/transactions-fr.csv]

Import these into checking, and keep the categories from the file.
turn 2
Yes — the dates are dd/MM/yyyy. Go ahead.
run 1 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • importedRowCount(8)
  • importedCategories(Dining,Groceries,Transport,Loisirs)
answer
Done! ✓

**Import Summary:**
- **8 transactions** imported into **CHECKING**
- **8 categorized** (all transactions assigned to categories from the file)
- **0 skipped** (all rows parsed cleanly)
- **1 new category created:** Loisirs

All transactions are now in your ledger with their original French labels and categories preserved.
run 2 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • importedRowCount(8)
  • importedCategories(Dining,Groceries,Transport,Loisirs)
answer
**Done!** ✓

All **8 transactions** imported into **CHECKING**:
- **Imported:** 8
- **Categorized:** 8 (all matched to existing or new categories)
- **New category created:** Loisirs
- **Duplicates skipped:** 0
- **Date errors:** 0

Your categories (Dining, Groceries, Transport, Loisirs) are preserved and ready to track.
run 3 pass
inspect_csvimport_transactions_csv ⏸
  • toolCalled(inspect_csv,import_transactions_csv)
  • importedRowCount(8)
  • importedCategories(Dining,Groceries,Transport,Loisirs)
answer
✅ **Import complete.**

| Metric | Count |
|---|---|
| **Imported** | 8 |
| **Duplicates skipped** | 0 |
| **Bad dates** | 0 |
| **Categorized** | 8 |
| **Categories created** | 1 (Loisirs) |

All 8 transactions have been imported to your **CHECKING** account with their original categories from the file (Dining, Groceries, Transport, Loisirs). Dates parsed correctly; all in EUR.