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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

get_ropa_requirements

Retrieve mandatory fields for a Record of Processing Activities (ROPA) based on your organizational role as controller or processor to ensure GDPR compliance.

Instructions

Get the mandatory ROPA fields for a given organizational role.

Args: role: 'controller' or 'processor' — determines required fields

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNocontroller

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries full burden. The docstring states the behavior (returning mandatory fields based on role) and the argument type, implying a read-only operation. It could explicitly note that no data is modified, but 'get' strongly suggests non-destructiveness.

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?

The description is two concise sentences, front-loading the purpose and efficiently covering the main parameter behavior. No unnecessary words.

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 the tool's simplicity (one parameter, no nested objects) and the presence of an output schema (not shown), the description is mostly complete. It could optionally hint at the output format (e.g., 'returns a list of fields'), but the existing detail suffices for agent selection and invocation.

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?

With 0% schema description coverage, the description adds significant value by explaining that role must be 'controller' or 'processor' and determines required fields. This clarifies the only parameter's semantics beyond the schema's type and default.

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 'Get the mandatory ROPA fields for a given organizational role,' specifying the verb, resource, and key parameter (role). It provides permissible values, distinguishing it from siblings like generate_ropa_template or validate_ropa.

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?

The description explains that the role parameter determines required fields ('controller' or 'processor'), giving clear context for when to invoke it. However, it does not explicitly contrast with sibling tools (e.g., when to use get_ropa_requirements vs. generate_ropa_template), though the distinction is implicit.

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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