Approvals reviewers rubber-stamp or have to hunt to understand
10 minutes per template
Replace “Approve?” with a verb and an object
The four parts of a request people can answer
A reviewer can only answer well if the request carries its own context. Four parts do that work: the action (what the agent will do), the target (who or what it affects), the reason (why it was proposed), and the consequence (what becomes true the moment you say yes). Miss one and the reviewer has to leave the message to find it — or, more often, approve without it.
Watch the same request lose and regain its meaning:
Before: “Approve task #3172?”
After: “Send the renewal reminder to 18 members whose plans end this month? Uses the approved template, no discount. Sends immediately on approve.”
How to judge it: a good request can be answered correctly from a phone, on the first read, without opening anything else. If you would need to check another screen to be sure, a fact is missing.
The trade-off is length, and it is smaller than it looks: the four facts are shorter than the back-and-forth a vague request creates, and far shorter than undoing a mistaken yes.
Lead with a verb and an object
Open with what will happen, not with a label. “Send refund confirmation,” “Publish pricing update,” and “Archive 42 inactive records” each say the whole action in the first three words. “Confirm action?” and “Approve request?” hide the verb and force the reviewer to reconstruct it from the details below — and the moment they stop reading, they are approving a blank.
Match the verb to what actually happens, not to what feels gentle. “Delete” is not “Clean up”; “Charge” is not “Process.” A soft verb that undersells the consequence is worse than a blunt one, because it invites a yes the reviewer would not give if they read it plainly.
How to judge it: cover everything except the first line. If a stranger can still say what they would be approving, the verb and object are doing their job.
The trade-off: precise verbs make a message feel abrupt. At a gate that is a feature — the abruptness is the reviewer noticing the stakes.
Use case: the message that caught a bad archive
Nadia runs a paid newsletter on her own. Each quarter her agent proposes archiving the members it counts as inactive, to keep the list clean. The first run asked: “Confirm cleanup?” — one line, two buttons — and she nearly tapped yes between calls.
She had two ways to make it safer. She could add another approval step — a second “are you sure?” — or she could rewrite the one message so the answer was obvious. A second prompt would only train the same reflex twice, so she rewrote the message instead.
The new version named the action and carried the three facts the decision turned on: “Archive 42 members with no opens in 24 months? Archived members can be restored for 30 days.” Reading it, she caught the problem the vague version had hidden — 24 months would sweep in her seasonal readers, who lapse every winter and return in spring. She widened the rule to 36 months and approved a smaller, correct batch.
The lesson: the message did more than inform her. Because it carried the target, the reason, and the consequence, it made a wrong action visible before it happened. “Confirm cleanup?” never could have.
The three facts that made one archive answerable
Illustrative facts from Nadia’s archive request — an example of carrying a decision to the reviewer, not a customer result.
Name the exact scope so a wrong filter becomes visible.
Show why these were selected, not just how many.
State what becomes true — and whether it reverses.
Carry the facts the decision turns on
Between the action and the choice sit the facts a person weighs: who or what is affected, the amount or date or destination that matters, why the agent proposed it now, and what happens after approval. The test for including a fact is one question — could it ever change a yes into a no? If not, it is noise.
The failure here is usually too much context, not too little. When the agent dumps everything it knows, the one number that decides the answer — the recipient count, the refund amount, the deletion scope — sits buried mid-paragraph, and a rushing reviewer skims past it. Three sharp facts beat a tidy wall of ten.
How to judge it: read the request and ask what would have to be different for you to say no. If that fact is not on the screen, add it; if a fact would not move the decision either way, cut it.
The trade-off is real: trimming context risks hiding an edge case. Resolve it by keeping the facts that bound the blast radius — scope, money, and reversibility — and linking the rest behind a “review draft” for the times a reviewer wants to dig in.
Offer real choices, matched to the stakes
“Yes” and “No” make the reviewer translate a direction into an outcome. Label the choices with the outcomes instead: Send now and Keep as draft, Publish and Save changes only, Issue refund and Hold for review. For anything destructive, offer the reversible choice first, so a thumb moving on muscle memory lands on the safe option, not the permanent one.
Then spotlight the fact that carries the risk for that kind of action:
- Customer contact — name the recipients and that the message sends under your name.
- Publishing — say where it appears and who can see it afterwards.
- Payments — show the amount and the direction, in or out.
- Destructive actions — show the scope and whether it can be undone, and for how long.
How to judge it: if a reviewer tapping fast, without reading, would still land somewhere safe, the choices are ordered right. A symmetric “Yes / No” on a deletion fails this test.
The trade-off: putting the reversible option first adds a half-second to the common, safe path. That is a fair price for making the rare, irreversible mistake hard to reach by accident.
Measure the approvals people got wrong
A request you cannot see fail is one you cannot fix. Four signals separate a message that was misunderstood from one that was understood and approved:
- Undo right after approval — the reviewer said yes, then reversed it. They approved something other than what they meant.
- Repeated edits before approval — the draft keeps getting rewritten because the request did not surface what needed changing.
- Questions the reviewer asks — every “wait, who is this going to?” is a fact that belonged in the message.
- A rejection rate near zero — nobody ever says no. Usually that means the gate is being rubber-stamped, not that every proposal was perfect.
How to judge it: read the reasons behind rejections and undos, not just the counts. Three cancellations that all name the same missing fact tell you exactly which line to rewrite.
The trade-off: speed alone lies. A message approved in two seconds can mean it was perfectly clear or that nobody read it — only the undo-and-question trail separates the two.
Try this next
- Take one approval message your agent sends today and rewrite its first line as a verb and object.
- Add the three or four facts the decision turns on — target, amount or date, reason, and what happens on approve.
- Replace “Yes / No” with labeled outcomes, and for destructive actions list the reversible choice first.
- After a few weeks, review undos, repeated edits, and reviewer questions, and add whichever missing fact caused them.
Sources and further reading
These primary references support writing requests reviewers can understand, offering specific choices over “Yes / No,” letting people check the facts before an irreversible step, and keeping a person in control of high-consequence actions.
Why specific labels such as “Delete file / Keep file” beat “Yes / No,” and why overused confirmations get rubber-stamped instead of read.
GOV.UK Design SystemCheck answers patternLet people review the facts before an irreversible step, with a button that names the action — for example, “Accept and send.”
NISTAI Risk Management FrameworkA practical framework for governing and measuring AI risk, including keeping human oversight where consequences are high.
OWASP GenAI Security ProjectLLM06:2025 Excessive AgencyExamples and mitigations for excessive functionality, permissions, and autonomy — the case for a clear human check before high-impact actions.
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