real-estate-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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| real_estate_ai_complianceB | Assess regulatory compliance for AI in real estate. Covers fair housing, automated valuation, tenant screening, and advertising discrimination. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The tool 'real_estate_ai_compliance' has a clear, distinct purpose.
The single tool name uses a consistent snake_case convention. While a verb_noun pattern is absent, the naming is predictable and descriptive for the domain.
A single tool is at the lower bound of typical scoping. The domain of real estate AI compliance is broad, but the tool claims to cover multiple aspects, making the count borderline acceptable.
The tool covers major compliance areas like fair housing, valuation, tenant screening, and advertising discrimination. Minor gaps (e.g., data privacy) may exist, but overall it serves the domain well.