save_wakeup
shallowcom.ask-ai-data-connector/ask-ai · Verify this server
Create or update a scheduled wakeup. **Create mode** (no `id`): schedule a future analysis with context and a metric snapshot. Call when the merchant asks to check back later, OR proactively before a retail event or trend worth monitoring. At save time pull the relevant metrics and write `context` as instructions for your future self. Returns `{ id }` — save that id to link the Claude routine. **Update mode** (with `id`): patch an existing wakeup — use this to link a Claude routine ID after creating it: `save_wakeup({ id: 'abc', routineId: 'trig_...' })`. The two systems work together: your wakeup holds the benchmarks and context; the Claude routine fires the session; the routine prompt includes the wakeup id so it calls `get_wakeup(id)` to retrieve everything it needs.
1 trials · measured 8 days ago
save_wakeup scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.ask-ai-data-connector/ask-ai, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Category
- Commerce & retail
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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