mcp-eu-ai-act

gdpr_generate_report

Generate the GDPR report your DPO needs — no arguments. Combines personal data inventory, gap analysis, and remediation steps in one structured document for DPO review, audit prep, or regulatory response. For EU AI Act + GDPR together, call combined_compliance_report().

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "gdpr_generate_report"
  }
}

Input Schema

Name	Required	Description	Default
`project_path`	No	Path to the project root. Leave empty or pass '.' to scan the current directory.	.
`processing_role`	No	GDPR role: controller, processor, or minimal_processing.	controller

Schema Changelog

Changes observed during successful MCP inspections.

Changed4 schema fields changedJul 27, 2026
- addedInput schema / properties / processing_role / description
```
Added value: +"GDPR role: controller, processor, or minimal_processing."
```
- addedInput schema / properties / project_path / default
```
Added value: +"."
```
- addedInput schema / properties / project_path / description
```
Added value: +"Path to the project root. Leave empty or pass '.' to scan the current directory."
```
- removedInput schema / required
```
Removed value: -[
-  "project_path"
-]
```
First observedFeb 28, 2026

TDQS

A3.8/5.0

Behavior2/5

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

No annotations are provided, so the description bears the full burden. It states 'no arguments' but the schema defines two optional parameters, which is misleading. It also doesn't disclose whether the tool performs read-only scanning, requires permissions, or has side effects. The intended output content is described, but behavioral transparency is undermined by the inaccurate 'no arguments' claim.

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 concise sentences, front-loaded with the core purpose. The first sentence states the tool's function and output; the second covers the alternative. No filler or redundancy.

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

Completeness4/5

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

Given there's no output schema, the description explains what the report contains and its use cases, which is sufficient for basic understanding. It doesn't clarify how the report is generated or the return format, but considering the tool's simplicity and sibling alternatives, it's reasonably complete.

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% and the parameter descriptions are clear (project_path and processing_role with their defaults). The description itself adds nothing beyond the schema, and the 'no arguments' phrase conflicts with the existence of parameters, but the schema sufficiently documents the parameters.

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 generates a GDPR report, listing specific contents (personal data inventory, gap analysis, remediation steps). It also explicitly differentiates from combined_compliance_report, making the purpose unambiguous.

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?

Provides strong context (DPO review, audit prep, regulatory response) and explicitly names combined_compliance_report for EU AI Act + GDPR cases. However, it doesn't distinguish when to use this over other GDPR siblings like gdpr_check_compliance or gdpr_scan_project, leaving some ambiguity.

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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