employment-ai
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| hiring_ai_complianceB | Assess regulatory compliance for AI-based hiring, recruitment, and selection systems. Covers NYC Local Law 144, EEOC guidance, EU AI Act employment provisions, bias auditing, and candidate rights. |
| workplace_surveillance_complianceA | Assess compliance for AI-based workplace monitoring and surveillance systems. Covers EU AI Act prohibitions, employee rights, proportionality, and Platform Workers Directive. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| employment://regulations/index | |
| employment://tools/guide |
TDQS
Scored across 2 tools
The two tools cover distinct compliance areas—hiring vs. workplace surveillance—with no overlap in purpose or context.
Both tools follow a consistent '[domain]_compliance' naming pattern with underscores, making the pattern predictable.
Only two tools for a broad domain like employment AI feels thin, but they are focused on compliance assessment which partially justifies the count.
The tools cover hiring and surveillance compliance, but miss other employment AI areas like performance evaluation or promotion, leaving notable gaps.