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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

check_deletion_requirements

Identify required GDPR deletion and anonymization capabilities for your system by providing context about the data it holds.

Instructions

Check what deletion/anonymization capabilities a system must support per GDPR.

Args: system_context: Description of the system and data it holds

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
system_contextYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must convey behavioral traits. It implies a read-only analysis ('Check') but does not explicitly state that the tool is non-destructive or whether permissions are needed. The behavioral disclosure is minimal.

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 short, with one sentence and an args line. It is front-loaded with the primary purpose, but could be more structured. No wasted sentences.

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 the tool's single simple parameter and the presence of an output schema, the description is minimal. It does not specify what the output contains or how to interpret results, leaving the agent with limited context beyond the basic functionality.

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 description coverage is 0%, so the description must compensate. It provides a brief explanation of the 'system_context' parameter ('Description of the system and data it holds'), which adds basic meaning but lacks details on expected format, examples, or constraints.

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 checks deletion/anonymization capabilities required by GDPR, using a specific verb and resource. However, it does not distinguish it from sibling tools like analyze_dsr_capabilities, which may have overlapping purpose.

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?

No guidance is provided on when to use this tool versus alternatives. The description simply states what it does, omitting any context about prerequisites, exclusions, or scenarios where other tools are more appropriate.

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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