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PUBLIC VALIDATION BRIEF

Feature Request: Support agent.pause() within tool calls

Evidence observed in browser-use/browser-use, a Coding project.

16 comments0 positive reactions161 days openProject Radar 99
enhancement
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DEMAND CONFIDENCE

REPEATED ACROSS 2 PROJECTS

Related friction appears in 2 independent repositories. This is stronger than one backlog item, but still requires direct user validation.

Project strength and demand confidence are measured separately.
SOURCE EVIDENCE

Start with what users actually said

Reporter context: What is the problem that your feature request solves? Feature request: human-in-the-loop pause that suspends Problem There is no first-class way for a tool to pause the agent, wait for external input (a human clarification, an approval, a signal from another process), and then resume — without falling foul of . The…Excerpted from the public Issue. Read the complete thread before interpreting it.

Read original GitHub Issue ↗
CODING VALIDATION LENS

Recruit: Recruit contributors who can replay the problem in a representative repository and development environment.

Guardrail: Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.

01 · Tool execution & lifecycle

Write the problem hypothesis

For [builder], the agent cannot reliably [select, add, call or remove a tool] during [workflow], causing [manual intervention or failed work].

You can name one user, one situation and one measurable consequence without proposing a feature.
02 · EVIDENCE INTERVIEW

Interview five developers or engineering leads

  • Which tool operation fails?
  • What state exists immediately before the failure?
  • How should errors and partial results be exposed?
  • Which permissions or schemas are involved?
  • What workaround keeps the workflow moving?
At least three people independently describe the same painful workflow with recent examples.
03 · MINIMUM TEST

Run the smallest experiment

Implement or simulate one tool lifecycle operation with explicit inputs, outputs and failure handling, then replay three real calls.

Three representative calls complete with the expected state transition and an observable recovery path.Use a fixed test case and compare completion, regressions and recovery against the unchanged baseline.
04 · DECISION GATE

Make a build decision

  • Build: repeated pain and active commitment
  • Narrow: pain is real but the audience or job differs
  • Stop: weak frequency or no behavioral proof
Do not let GitHub engagement replace direct validation.

Why this brief exists

Information has value only when it changes action. This page turns one public signal into a bounded validation exercise. It is a research aid, not proof of demand, investment advice or a product recommendation.