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real_estate_ai_compliance

Assess real estate AI systems for compliance with fair housing, valuation, screening, and advertising regulations. Provide risk analysis based on system details and jurisdiction.

Instructions

Assess regulatory compliance for AI in real estate. Covers fair housing, automated valuation, tenant screening, and advertising discrimination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
system_nameYesName of real estate AI system
ai_functionYesFunction (automated valuation/AVM, tenant screening, ad targeting, property recommendation, smart building)
data_inputsYesData inputs (property data, credit, criminal, demographics, satellite imagery, social)
fair_housing_impactYesImpact on protected classes (race, color, religion, national origin, sex, disability, familial status)
jurisdictionYesOperating jurisdiction (US/FHA, EU, UK, Australia, etc.)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only states 'assess regulatory compliance', implying a read-only operation, but does not explicitly mention that it is non-destructive, required permissions, rate limits, or any side effects. This lack of detail leaves behavioral assumptions ambiguous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently communicates the tool's core purpose and scope. It is front-loaded with the main action 'Assess regulatory compliance' and concisely lists coverage areas without unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 required parameters and no output schema, the description does not explain what the output contains (e.g., compliance score, recommendations, citations). It only hints at the topics covered, leaving the agent to guess the result format. The tool's context is incomplete for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema itself documents all 5 parameters. The description adds overall context (e.g., covering fair housing, automated valuation) but does not add specific meaning beyond the schema's parameter descriptions. Thus, it meets the baseline for high coverage without extra value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool assesses regulatory compliance for AI in real estate and lists specific areas like fair housing, automated valuation, tenant screening, and advertising discrimination. The verb 'assess' and resource 'regulatory compliance' are specific, and the scope distinguishes it from general compliance tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives is provided. Sibling tools are absent, so the description relies on implied usage from the purpose. However, it does not specify when not to use it or provide exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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