tascan_assess_condition
shallowio.github.snowbikemike/tascan-mcp · Verify this server
Run an AI condition assessment of an asset from a photo. The model scores 0-100 with the asset's full assessment history in context, so it reads degradation over time — returning the Condition Delta Score vs the previous assessment, defects, wear indicators, maintenance recommendations, and a degradation trajectory. Sensor-free predictive maintenance.
1 trials · measured 2 days ago
tascan_assess_condition scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.snowbikemike/tascan-mcp, measured 31 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 + stdio
- Credential class
- self-provisionable
- Category
- Developer infrastructure
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-31 | 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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[](https://vouch.tools/tools/1a037c3e-72ea-4282-a407-64ba22e822b1)