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hipaa_ai_assessment

Assess HIPAA compliance of AI systems processing PHI. Evaluates safeguards across administrative, physical, and technical domains for healthcare AI.

Instructions

Assess HIPAA compliance for AI systems processing Protected Health Information (PHI). Evaluates administrative, physical, and technical safeguards required for AI systems in healthcare settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
system_nameYesName of the healthcare AI system
phi_data_typesYesTypes of PHI the system processes (e.g., diagnostic data, genomic data, medication records)
system_descriptionYesDescription of the AI system and its role in healthcare delivery
deployment_environmentYesWhere the system is deployed (e.g., cloud, on-premise, hybrid)
Behavior3/5

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

With no annotations, the description carries full burden for behavioral disclosure. It indicates a non-destructive assessment (evaluate safeguards), but does not explicitly state that the tool is read-only, auth requirements, or side effects. The description is adequately transparent but lacks explicit confirmation of safety.

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 two sentences, front-loading purpose in the first sentence and elaborating in the second. Every word adds value, no redundancy.

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

Completeness3/5

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

Given the tool's complexity (4 required parameters, no output schema, siblings), the description defines scope and evaluation areas but omits information about return value or output format. It is adequate but not fully complete for an agent to understand the full behavior.

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 coverage is 100%, so baseline is 3. The description adds context about evaluating administrative, physical, and technical safeguards, but does not enhance parameter meaning beyond the schema descriptions. Therefore, no extra value above baseline.

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's purpose: assessing HIPAA compliance for AI systems processing PHI. It uses a specific verb ('assess') and resource ('HIPAA compliance for AI systems'), and it distinguishes from siblings by focusing on HIPAA specifically, whereas siblings cover other regulatory domains.

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?

The description implies the tool is for HIPAA compliance assessments but does not explicitly state when to use it over siblings like fda_ai_assessment or eu_mdr_compliance. No guidance on prerequisites or when not to use it.

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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