search_painting_lessons
shallowio.github.1nzpainter/painting-lessons · Verify this server
Search the mypaintingclub.com painting-lesson knowledge base. The knowledge base is built from transcribed Vimeo lessons covering topics such as colour mixing, brushwork, composition, value, edges, and painting techniques for oils and acrylics. Given a natural-language question, the tool returns up to `top_k` relevant answers drawn from real lesson content. Each result includes: - `answer`: the lesson's explanation for that question - `lesson_title`: the name of the lesson - `sales_page_url`: the mypaintingclub.com page where members can watch - `start_time_seconds` / `end_time_seconds`: the exact clip in the video - `vimeo_deep_link`: a direct URL to that moment (e.g. https://vimeo.com/123456789#t=312s) - `score`: cosine distance (lower = more relevant; 0 = identical) Use this tool whenever a member or agent asks a painting technique question that might be answered by a specific lesson.
1 trials · measured 8 days ago
search_painting_lessons scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.1nzpainter/painting-lessons, 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
- self-provisionable
- 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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[](https://vouch.tools/tools/c499c455-0e85-4b01-b7e1-80d9857fc538)