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MichaelEnny

healthsec-mcp

by MichaelEnny

score_compliance

Evaluate healthcare data compliance by scoring HIPAA and FHIR checklist items based on status and weight.

Instructions

Score a HIPAA/FHIR compliance checklist.

    Each entry needs `id` (prefixed "HIPAA-..." or "FHIR-..." to
    determine which standard it belongs to), `status`
    ("PASS"/"PARTIAL"/"FAIL"/null), and `weight`.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checklistYes
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It explains input requirements but does not disclose return format, side effects, error behavior, or whether the tool is read-only. This is adequate but misses critical details.

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?

Two short sentences, no fluff. The purpose is stated first, followed by parameter requirements. Every word earns its place.

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?

The description covers input constraints well but lacks any explanation of the output (e.g., what the score represents, data format). Without output schema, this is a notable gap. Examples or return value details would improve completeness.

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

Parameters5/5

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

The input schema is minimal (array of objects with no property definitions). The description adds significant meaning by specifying required fields (id with prefix constraints, status enum, weight). This fully compensates for the 0% schema coverage.

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

Purpose4/5

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

The description clearly states it scores a HIPAA/FHIR compliance checklist, specifying the required fields. However, it does not explicitly differentiate from the sibling 'score_audit_completeness', which may cause confusion.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., score_audit_completeness). Implicitly, it is used for compliance scoring, but no exclusions or context are provided.

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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