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VITNA — Agent Compliance Preflight

dpia_threshold_check

Before you start a new processing activity, check whether the law requires a DPIA first (GDPR Art 35 / DPDP §10 / LGPD Art 38). Give the purpose + data categories (and scale / systematic-monitoring / automated-decision / cross-border / vulnerable-subjects flags); returns dpia_required + the 9-criterion WP29 analysis + jurisdiction guidance, so you know whether to pause and assess before proceeding.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scaleNo
cross_borderNo
jurisdictionNo
data_categoriesYes
automated_decisionNo
processing_purposeYes
vulnerable_subjectsNo
systematic_monitoringNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool returns an analysis ('dpia_required + the 9-criterion WP29 analysis + jurisdiction guidance') and implies it is advisory ('so you know whether to pause and assess'). However, it does not explain how optional flags are handled, what happens if jurisdiction is omitted, or any limitations of the analysis.

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 dense sentences with no filler. The first sentence front-loads the purpose and legal references; the second efficiently lists inputs and outputs. Every phrase contributes to understanding.

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 tool has 8 parameters and no output schema, so the description must compensate. It provides a good overview of the workflow, input categories, and high-level output, but it misses the jurisdiction input parameter and does not describe the structure of the '9-criterion WP29 analysis' or how flags influence the result. This is adequate but leaves gaps for a complex legal analysis tool.

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?

The description names most input parameters (purpose, data categories, scale, systematic_monitoring, automated_decision, cross_border, vulnerable_subjects) and describes them as flags, but it omits the 'jurisdiction' parameter entirely. It also does not explain the format or allowed values (e.g., scale enum), leaving some semantics to the schema despite 0% schema description 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 the tool's purpose: checking whether a DPIA is required before starting processing, citing GDPR Art 35 / DPDP §10 / LGPD Art 38. This is a specific verb and resource, but it lacks an explicit comparison to sibling tools, so it falls short of a 5.

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

Usage Guidelines4/5

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

It provides a clear temporal context: 'Before you start a new processing activity', indicating when to use the tool. It also implies the outcome ('pause and assess before proceeding'), but does not explicitly state when not to use it or name alternatives.

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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