Tell the model how to look at a result it has not seen before

[CNSeniorious000]

filter and aggregate in code and surface just the conclusion assumes the model knows which fields it wants. The first time through an unfamiliar tool it does not, and ending the cell on the whole value is then the rational move — you cannot project fields you have never seen. The block offers nothing cheaper, so that is what happens.

-…so filter and aggregate in code and surface just the conclusion.
+…so filter and aggregate in code and surface just the conclusion. Don't know the shape yet? Ask for the SHAPE, not the payload — `r.keys()`, `len(r["results"])`, `r["results"][0]` — then extract on the next line.

Two lines instead of one, and the first costs a few hundred characters instead of the whole answer.

Measured — 4/4 tasks, 3 arms, all complete

Carried with #27, #30 and #35 as one arm. gpt-5.6-terra, band 2K–20K, dump rate with median ratio in brackets.

task	baseline	#27+#30	+ this and #35
private_lending_33d	80.5% (1.006)	50.0% (0.613)	13.3% (0.225)
hsa_medical_bill_liquidity_guard_30d	72.7% (1.180)	29.2% (0.039)	24.5% (0.013)
broadcast_exam_posture_breathing_32d	9.1% (0.302)	38.2% (0.479)	3.6% (0.022)
food_safety_dispute_33d	44.7% (0.345)	100.0% (1.018)	12.5% (0.069)
pooled	47.3%	43.7% (p = 0.51 vs baseline)	15.1% (z = 5.98)

4/4 tasks improved, against 2/4 for #27 + #30.

Why this clause specifically

The slice-bound histogram in #34. Under #27 + #30 the model stopped echoing raw results and started printing [:12000] slices — median bound 12000, 22 of 23 above 2000 — which is how broadcast_exam went from 9.1% to 38.2% and food_safety from 44.7% to 100%. With this clause in the arm, slice bounds collapse to a median of 300 on one task and 30 on another, nothing above 5000: macaron-v1-venti's regime (median 120, max 1200).

Giving the model a cheap first look is what removes the reason to print the payload. Telling it not to print the payload, without that, just changes which statement does the printing.

Note

Attribution between this and #35 is not separated — measured together, and the arm does not carry #34.

[sourcery-ai]

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