Skip to main content
Glama
KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

validate_ropa

Validate a ROPA document for compliance with GDPR Article 30 mandatory fields. Supports text, JSON, or markdown input.

Instructions

Validate a ROPA document against Art. 30 mandatory fields.

Args: ropa_content: The ROPA content to validate (text/JSON/markdown)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ropa_contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states 'Validate', implying a read-only operation, but does not disclose whether it modifies data, requires permissions, or what the output format is. Minimal behavioral insight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise, consisting of a single purpose line and a parameter line. It is well-structured and easy to parse, though it sacrifices depth.

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

Completeness2/5

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

Given that an output schema exists but is not shown, the description need not detail return values, but it fails to explain what validation entails (e.g., returns errors, passes/fails). It lacks completeness for a validation tool.

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

Parameters4/5

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

The parameter description 'The ROPA content to validate (text/JSON/markdown)' adds useful format details beyond the schema's bare type 'string'. This helps the agent prepare input correctly.

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 validates a ROPA document against Art. 30 mandatory fields. This is a specific verb-resource combination that differentiates it from siblings like 'generate_ropa_template' or 'get_ropa_requirements'.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or limitations. Without context, the agent may misuse it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KevinRabun/GDPRShiftLeftMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server