Agent-Reach: prepare and diagnose an agent’s web-reading tools
Build a provenance-aware Agent-Reach reading log
Create a read-only record linking channel health to actual retrieval and cited answers without storing account secrets.
What you will learn
- Keep three observations
- Explain the first failed stage
- Test the evidence relationship
Before you start
- Basic command-line and configuration reading
- Ability to work in a disposable authorized environment
Create a read-only record linking channel health to actual retrieval and cited answers without storing account secrets.
Key takeaways
- Later success needs independent evidence.
- Health freshness is not document freshness.
- Provenance can be taught without collecting secrets.
Keep three observations
Record channel status, retrieval outcome and answer evaluation as different objects. Include source URL, capture time and backend name. A successful health check should not automatically fill the retrieval or answer fields.
Use public synthetic fixtures first. Keep response hashes or short approved excerpts when full content is unnecessary. Do not store cookies, authorization headers or unrelated personal information in the learning log.
Explain the first failed stage
Show missing dependency, unavailable channel, incomplete extraction and unsupported answer as distinct states. This lets a learner choose the next check without reinstalling tools for a summarization error.
A stale capture should remain visible with its date. Avoid changing it to current merely because doctor ran again. Health freshness and document freshness are separate properties of the record.
Test the evidence relationship
Create fixtures for healthy-but-unreadable, readable-but-incomplete and complete-but-misquoted cases. Acceptance requires that no later state be marked successful without its own evidence. Keep the interface read only.
This is an independent learning proposal, not an upstream feature. A table and a short evidence flow work well here; a 3D scene would not make provenance easier to verify.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Store health, retrieval and answer evidence separately.
- 2
Retain source dates without account secrets.
- 3
Test partial success and stale captures.
Copy-ready example
{
"proposal": true,
"sourceUrl": "https://example.com",
"capturedAt": null,
"channelHealth": null,
"retrieval": null,
"answerCheck": null,
"readOnly": true
}Frequently asked questions
Is this log already part of the project?
This chapter proposes an independent format.
Should it repair channels automatically?
The initial exercise is read only and explains evidence.
Sources
- Agent-Reach / README.mdSource checked 2026-09-18
- Agent-Reach / agent_reach/doctor.pySource checked 2026-09-18