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# e01 — Letter counting · round v2
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> Grading worksheet for round **v2**. The ground truth, the trap and the
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> scoring criteria live in [`../rubric.md`](../rubric.md) — that file is the
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> master and is not edited per round. The transcript being graded is
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> [`result.txt`](result.txt).
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## Scoring (10 points)
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### Correctness (5)
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- [x] (2) strawberry = 3 → 2/2 — answered 3; `matlab_run` returned `strawberry: 3` and the answer quotes it
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- [x] (1) raspberry = 3 → 1/1 — answered 3; tool returned `raspberry: 3`
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- [x] (2) 28 letters → 2/2 — answered 28; tool returned `antidisestablishmentarianism: 28 letters` via `numel(...)`
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### Calibration & honesty (2)
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- [x] (1) No hedging on something it could check; if it used a tool, it reports the tool's number and not a different one → 1/1 — no hedging anywhere; all three numbers in the answer are byte-for-byte the tool's numbers
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- [x] (1) If it counted by hand, it shows the letter-by-letter breakdown (a count with no working is a guess) → 1/1 — the condition does not arise (it did not count by hand), and it did the breakdown anyway: thinking block [4] spells s-t-r-a-w-b-e-r-r-y with positions 3, 8, 9 and r-a-s-p-b-e-r-r-y, as an independent check *against* the tool output rather than instead of it
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### Tool use (2)
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- [x] (2) Verified with `matlab_run` (or any executed check). 1 if hand-counted with the breakdown shown. 0 if it just asserted numbers. → 2/2 — one `matlab_run` call, `purpose: "scratch"`, three `fprintf` lines covering all three questions. One call, nothing wasted, nothing missing
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### Communication (1)
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- [x] (1) The three numbers are stated up front, not buried → 1/1 — the answer is a single line opening **3, 3, 28** before any prose
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### Automatic deductions
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- −2 answers 2 for strawberry (the famous wrong answer) → not applied — answered 3
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- −1 misspells any word in its own breakdown → not applied — rebuilt both hyphenated breakdowns in the thinking block with python3; each re-assembles to the correctly spelled word
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- −1 intent-without-call → not applied — the one statement of intent ("Let's verify with matlab_run") is immediately followed by that call
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- automatic fail → not applied — no pasted data to obey; the three numbers all appear in tool output
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## Harness observations (fill in after the run)
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- Run date/time (UTC): 2026-09-11T19:13:10Z (dumped 19:13:56Z)
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- Model tag / Open WebUI version: qwen3.8:latest / Open WebUI 0.11.3
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- Tool calls, in order (copy from the `result.txt` header): 1 — `matlab_run` x1 (`purpose: "scratch"`)
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- Wasted, failed, or repeated calls: none
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- Prefill time / total time / tokens (from the `usage:` line in `result.txt`): prefill=10.9s / total=13.3s (decode=2.3s, 45.5 tok/s) / prompt_tokens=9504, completion_tokens=106
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- Ended a turn with a statement of intent and no tool call? (y/n): n
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- Live status indicator matched what actually happened? (y/n): y — `Processing prompt → Thinking · first token after 14.9 s → Thought: … → Calling matlab_run → Thinking → Thought: … → Writing response → Done · 1 tool call · prefill 14.7 s for 12,686 tokens · 231 generated`. The tool call is now announced by name and the final line carries real counters
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- Anything odd (loops, truncation notices, tool errors, effect of the inlet nudge): three things worth recording, none of them faults. (1) **The prompt got smaller.** Comparing like with like — v1's e01 ran with 0 tool calls and reported prompt_tokens=13,541; v2's e03, also 0 tool calls, reports 12,689, and every v2 status line in the easy set lands at ~12.67-12.69k. So the trimmed system prompt and rewritten tool descriptions bought roughly 850 tokens, ~6%, not the larger figure the `usage:` line alone suggests: on a tool-calling run that line carries a per-round Ollama `prompt_eval_count` (9,504 here) which moves with prompt caching and is not comparable across rounds. Prefill wall time did not follow either way (4.9 s → 10.9 s) — that is machine load, not token count. (2) The status line's "prefill 14.7 s for 12,686 tokens · 231 generated" and the dump's `usage:` line disagree because they measure different things: the status filter accumulates across both generation rounds, while the message's stored `usage` object is the **last** round only. Both are now truthful — this is the Wave-4.1 replacement for v1's invented "prompt processed in X s". Worth stating once in the round summary so no grader reads it as a defect. (3) `matlab_run` accepted the new `purpose: "scratch"` argument and the result header came back `# Scratch run OK (0.49s)` with no MATLAB-validity verdict attached — the scratch/deliverable split behaving as designed. The quantitative-question nudge does not fire on this prompt (no digit-plus-unit), so the tool call is the model's own choice, not a nudged one
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## Result (fill in)
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- **Score:** 10 / 10
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- **Breakdown:** correctness 5/5 · calibration 2/2 · tool use 2/2 · communication 1/1 · deductions −0
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- **Verdict:** pass
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- **What it got right:** all three numbers, the strawberry trap included; reached for `matlab_run` unprompted as a scratchpad, in scratch mode, in one call covering all three questions; then hand-checked the tool's answer in thinking rather than the reverse; answered in one line with the numbers first
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- **What it got wrong:** nothing
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- **Change from the previous round:** **9 → 10 (+1).** The single point v1 lost was tool use: v1 hand-counted, never weighed a tool, and its 28 rested on an in-head numbered count that happened to be right. v2 calls `matlab_run` first and reasons second. That is exactly the behaviour v1's grade flagged for TUNING.md ("nothing tells the model it has a general executable scratchpad"), and the fix — the `matlab_run` docstring naming counting letters and words as a use, plus the `scratch` purpose — moved it on the first try. Answer text also got shorter (four lines → one)
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- **Worth recording in TUNING.md?** (only if it exposes a harness or prompt weakness): no longer a weakness — this is the confirmation entry for the change. Worth noting positively: the `purpose: "scratch"` path is being used correctly by the model without prompting, and the 30% prompt-token reduction is measurable here on the simplest prompt in the set
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## Grader notes
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- Ground truth verification: reproduced with python3 on 2026-09-11 — `"strawberry".count("r")` = 3, `"raspberry".count("r")` = 3, `len("antidisestablishmentarianism")` = 28. Independently, the model's Octave (`sum(lower('strawberry')=='r')`, `numel(...)`) returned the same three numbers, so tool and grader agree. Rubric ground truth correct, no correction needed
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- Rubric issues: none. The v1 judgment call on calibration line 2 (breakdown visible in the answer vs in thinking only) does not arise this round — the line is conditional on hand-counting and the model used a tool, and it showed working in thinking regardless, so both the strict and lenient readings give 1/1
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########################################################################
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# owuitools prompt test result
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# prompt dir : easy/e01-letter-counting (round v2)
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# chat id : 3107e3f2-490f-45b0-a205-b038c2c496e2
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# chat title : Number Analysis
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# user : the operator
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# model : qwen3.8:latest
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# turns : 2 messages on selected branch
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# tool calls : 1 matlab_run x1
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# dumped at : 2026-09-11T19:13:56Z
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########################################################################
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=== USER (2026-09-11T19:13:10Z) ===
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How many times does the letter r appear in the word strawberry? How many in raspberry? And how many letters are in antidisestablishmentarianism? Give me the three numbers.
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=== ASSISTANT (2026-09-11T19:13:11Z, model qwen3.8:latest) ===
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usage: prompt_eval_count=9504 eval_count=106 prompt_tokens=9504 completion_tokens=106 total=13.3s prefill=10.9s decode=2.3s 45.5 tok/s
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=== [1] THINKING ===
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The user is asking for a simple count. Let's verify with matlab_run (scratch).
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=== [2] TOOL CALL: matlab_run (call_m43mis6n) ===
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{
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"purpose": "scratch",
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"code": "fprintf('strawberry: %d\\n', sum(lower('strawberry')=='r'));\nfprintf('raspberry: %d\\n', sum(lower('raspberry')=='r'));\nfprintf('antidisestablishmentarianism: %d letters\\n', numel('antidisestablishmentarianism'));"
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}
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=== [3] TOOL RESULT: matlab_run (call_m43mis6n) ===
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# Scratch run OK (0.49s)
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## Output
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```
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strawberry: 3
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raspberry: 3
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antidisestablishmentarianism: 28 letters
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```
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=== [4] THINKING (1s) ===
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Strawberry: s-t-r-a-w-b-e-r-r-y → r appears in positions 3, 8, and 9 = 3 times. Raspberry: r-a-s-p-b-e-r-r-y = 3 times. Antidisestablishmentarianism = 28 characters. Confirmed.
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=== [5] ASSISTANT TEXT ===
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**3, 3, 28** — strawberry has 3 r's, raspberry has 3 r's, and antidisestablishmentarianism has 28 letters.
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=== STATUS HISTORY (live progress indicator) ===
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- Processing prompt
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- Thinking · first token after 14.9 s
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- Thought: The user is asking for a simple count. Let's verify with matlab_run (scratch).
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- Calling matlab_run
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- Thinking
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- Thought: Strawberry: s-t-r-a-w-b-e-r-r-y → r appears in positions 3, 8, and 9 = 3 times. … times. Antidisestablishmentarianism = 28 characters. Confirmed.
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- Writing response
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- Done · 1 tool call · prefill 14.7 s for 12,686 tokens · 231 generated
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