semantic_search
shallowcc.roboparts/roboparts · Verify this server
用自然语言描述需求（如"人形机器人髋部高扭矩电机"）做语义召回，返回最相近的零部件。语义索引由离线哈希 TF-IDF 向量（构建时预计算、零外发、零外部模型）在当前全量实体上生成，是兼容性判定之外的"发现"通道：当你不确定零件的确切型号或参数名时，用它比关键词子串匹配更稳。索引不可用时自动降级为关键词检索，并明确告知。
100.0/100
1 trials · measured 8 days ago
semantic_search scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against cc.roboparts/roboparts, 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
- open
- 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.
Embed this score
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[](https://vouch.tools/tools/586bb512-81bd-4081-b6fb-49a15b60a0db)