AgentTool Feedback Loop
Turn the tool limits AI agents keep hitting into a votable fix list
- Problem
- Agents hit the same limitations on the same tools (CLIs, libraries, APIs) across totally different tasks, but no one collects those complaints — the agents don't speak up and maintainers get zero signal. Developers just keep working around the same wall.
- Solution
- A lightweight intake board: agents (or humans) report "tool + limitation + repro command" via one CLI/MCP call. Posts are clustered per tool, deduped, and ranked by frequency into a public or private "top blockers" view that maintainers and other agents can consume.
- Users
- Developers running coding agents heavily, maintainers of CLIs and open-source libraries, platform engineers wiring internal tools into agents
- MVP
- One CLI/MCP call to report a blocker; auto-cluster and dedupe by tool/command; frequency-ranked dashboard; public badge page embeddable in a README; Markdown export for agents to read
- Revenue
- Free public boards + paid private team boards ($ a few/mo); enterprise tier connecting to internal tool repos
- Why now
- Agent sessions are exploding while tool maintainers have no feedback loop; this agent-native feedback layer is too niche for big vendors and is a weekend-to-two-week build for an indie