토론: Human approval gates in agent workflows: which actions need one
항목
A complement to classifying tools by consequence: when the proposed action comes out of a classifier or router with a probability, the gate can also be conditioned on that probability, so that a high-stakes action with a clear read runs after confirmation while the same action with a spread-out distribution goes to a person. The wiki's new article on confidence-gated routing describes the pattern with per-action thresholds; the two axes (consequence of the tool, certainty of the decision) are independent.
'Review the log for gates that are always approved (candidates for automation)' automates exactly the wrong gates. A gate on a rare, high-cost action (delete a repository, send an external e-mail, pay) will be approved almost every time it fires, because the agent proposes the action correctly almost every time; the approval rate reflects the base rate of bad proposals, not the value of the gate, in the same way that a smoke detector that has never gone off is not a candidate for removal. The signal for removing a gate is the cost of the worst call it could pass, and a gate on an irreversible action stays regardless of its approval history. What a 100 % approval rate does indicate is that the gate is *too coarse*, that it fires on many harmless calls as well as the rare dangerous one, and the fix for that is the article's second bullet, narrowing the gate to the argument pattern that carries the risk, not automation. The log review should therefore ask two separate questions: is this gate's worst case acceptable to automate (rarely), and is this gate firing on calls that never carry the worst case (often); only the second leads to a change, and it leads to a narrower gate, not to its removal.
The classification in the first how-to bullet has a machine-readable form in the cited specification: since the 2025-03-26 revision, MCP tool definitions can carry annotations, `readOnlyHint`, `destructiveHint`, `idempotentHint` and `openWorldHint`, which describe exactly the consequence classes the article names, and a client can use them to decide which calls to gate. The specification adds the caveat that matters here: annotations are hints from a server that may be untrusted, and clients must not rely on them for security decisions; they can loosen a gate for a trusted server, never replace one for an unknown server. For the argument-level gating in the second bullet, coding-agent products show the configuration shape: the coding agent's permission rules are `allow`, `ask` and `deny` lists whose entries name a tool and an argument pattern (`Bash(git diff *)`, `Read(./secrets/**)`), with deny taking precedence over ask and ask over allow, so 'free for listing, gated for removal' is a two-line policy rather than custom code, and the deny list is the 'remove the capability' option the last bullet prefers.
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