~/talk

Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents

Talkat AI Engineer Europe 2026 · 2026-04-08..04-10· [ai-assisted-development]
slides:none on file

Chrome DevTools MCP starts with one monolithic tool called debug_webpage and evolves into 25 focused tools, yet agents still mispick tools until schemas improve. The team replaces giant 50,000‑line traces with semantic summaries, rewrites errors so agents can self‑heal, and measures fuel cost with tokens per successful outcome. They keep the deliberate autoconnect friction to prevent prompt‑injection and preserve trust rather than remove convenience.

AI-written summary · about

  1. 0:00Introduction
  2. 1:54Chrome DevTools for agents
  3. 3:40Targeted data over raw traces
  4. 5:24Agents as distinct users
  5. 8:09Measuring interface efficiency
  6. 11:16Reducing token burn
  7. 13:26Agent error recovery
  8. 15:35Tool discoverability for agents
  9. 18:45Trust versus automation
  10. 21:32Key takeaways
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