check_scam_message
shallowio.github.Toinedotcom/toolforte · Verify this server
Judge whether a text message, email, WhatsApp, voicemail transcript or web message is a scam. Returns a verdict (scam, suspicious or likely legitimate), a risk score, the concrete signals found with the evidence quoted from the message, what the reader should do next, and a safe reply. Knows Dutch scams (bankhelpdeskfraude, WhatsApp 'hoi mam/pap' family emergency, fake Tikkie and iDEAL links, DigiD, Belastingdienst, CJIB fines, parcel delivery fees, Marktplaats payment requests, energy refunds) as well as international phishing, tech support, investment and romance scams. Answers in the language of the message unless told otherwise. This is an AI assessment, not proof: a legitimate message can look suspicious and a scam can look clean. Costs one AI generation (10 credits) with an API key; a few free demo calls per day without one. Same result as POST /api/v1/ai/scam-message-check.
1 trials · measured 27 days ago
check_scam_message scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Toinedotcom/toolforte, measured 11 Sept 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 + stdio
- Credential class
- unreachable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-11 | 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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