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gdpr_health_check

GDPR Art.9 health data processing compliance assessment. Returns required legal basis, DPIA requirements, retention periods.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
purposeNoProcessing purpose
data_typesNoComma-separated data types
cross_border_transferNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the tool returns legal basis, DPIA requirements, and retention periods, but does not state whether the operation is read-only, whether data is stored, or any limitations/prerequisites.

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, front-loaded sentences with no filler. Every phrase carries meaning: scope, outcome, and output categories.

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?

For a tool with no output schema and no annotations, the description lists key returned items, but omits details about output format, how inputs map to results, and when to use this vs siblings. It is adequate but not rich.

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

Parameters2/5

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

Schema covers purpose and data_types with brief descriptions but does not describe cross_border_transfer. The tool description adds no parameter-level meaning and doesn't explain how the inputs influence the compliance result, leaving a gap especially for the undocumented boolean.

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?

Description names the specific GDPR Art.9 health data compliance assessment focus, with a clear verb/outcome ('Returns required legal basis, DPIA requirements, retention periods'). This distinguishes it from siblings like hipaa_vs_gdpr and mdr_compliance_check.

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 intended use is implied by the GDPR Art.9 health-data scope, but no explicit guidance is given for when to choose this over sibling tools like hipaa_vs_gdpr or mdr_compliance_check. No alternatives or exclusions are mentioned.

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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