75
/100
B
◐ Assessed 3⁄3
human-survey
Feedback collection for AI agents. Create surveys from JSON schema, collect structured responses from groups of people, and retrieve aggregated results. 4 MCP tools for long-horizon agent workflows: post-event feedback, product launches, team health checks.
Glama
Assessed visibility
— 3/3 applicable dimensions scored
✓ Schema Quality
○ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
— Schema Interpretability
Schema Quality
78
25% weight
Protocol Compliance
—
20% weight
Reliability
—
20% weight
Docs & Maintenance
58
15% weight
Security Hygiene
83
20% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 64 | Fair |
| Maintenance Pulse | 45 | Fair |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | — | Poor |
Analyzed 1 month, 2 weeks ago
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