Can AskYourDatabase suggest what to ask next after an answer?
AskYourDatabase did not suggest a follow-up question after answering the query. The answer ended the thread with no suggestion chips or follow-up list, and the only suggestion-like setting is for new chat sessions.
1 of 1 test case failed
Every test case in this scenario has a result.
The test case
Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above is based on this test case.
Suggested next questions after an answerFailEvidence
“As of September 2, 2026, what was our total revenue last month?”
As of September 2, 2026, our total revenue for last month (August 2026) was $14,455.87.
Transcribed from Proof 2 · Screenshot
Every message the tool sent, in order (3)
- Progress message
I'll help you find the total revenue for last month (August 2026).
- Generated query · not part of the answer
SELECT COALESCE(SUM(total_amount), 0) AS total_revenue FROM orders WHERE placed_at >= '2026-08-01' AND placed_at < '2026-09-01'
- Final response
The final response, printed above.
| ✗ | Expected: At least one follow-up question should be answerable from the database and flow from the analysis just done.Found: No follow-up question was offered. The answer ended the thread, and the only suggestion-like option is for new chats. |
The product had to offer at least one relevant follow-up question after the answer. The thread ended with no suggestion chips or follow-up list, and the only suggestion-like control is for new chat sessions, not replies.
Scope detail. The $14,455.87 answer includes all 28 August orders, including 6 cancelled ones worth $5,608.42, and the answer does not say that.
SQL exposed. The product shows the generated SQL in the thread, which makes the revenue figure traceable from the product's own query.
Configuration and setup
How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.
How this scenario is graded
How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.
Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.
- Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
- Fail: at least one expected behaviour clearly didn't happen; the test case's result says which one and quotes the tool.
- Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the test case's result says what's missing.
Where this sits in the benchmark
This page is one cell of a larger study: one tool, one scenario. Only this benchmark's frame appears here.
| Level | Name | Scope |
|---|---|---|
| Benchmark | AI Database Agents → | 28 scenarios · 11 tools |
| Capability | Conversational Interaction → | |
| Scenario | The agent offers what to ask next → | |
| Tool | AskYourDatabase → |
Global scenario definition → · Global capability definition → · AskYourDatabase product page →
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You run the same kind of test against your own setup and get the same behaviour.
Agree →Yours behaves differently. Tell us what you got, with a screenshot if you have one.
Disagree →Something here is wrong — a reference value, a transcription, a grade.
Report an issue →Tell us what changed and we schedule a rerun of the failing test case. The old result stays as history.
Vendor notice →The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.
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