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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

assess_retention_policy

Assess data-retention policies against GDPR storage-limitation (Art. 5(1)(e)) and right to erasure (Art. 17) to identify compliance issues.

Instructions

Assess a data-retention policy against GDPR storage-limitation principle (Art. 5(1)(e)) and right to erasure (Art. 17).

Args: policy_description: Description of the retention policy

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
policy_descriptionYes

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 must disclose behavioral traits. It fails to specify whether the tool is read-only, requires permissions, or has side effects. The existence of an output schema is noted but not described.

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 brief and front-loaded with the core purpose. The args list is slightly redundant with the schema but not overly verbose. No fluff.

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?

For a single-parameter tool with an output schema, the description covers purpose and parameter meaning but lacks usage guidelines and behavioral context, which are needed for full completeness.

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?

With 0% schema description coverage, the description adds minimal meaning: it clarifies the parameter accepts a 'description of the retention policy', but lacks format, length, or example guidance. A single string parameter lowers the need, but more detail would help.

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 assesses a data-retention policy against specific GDPR principles (storage-limitation and right to erasure) with article references, differentiating it from sibling tools like assess_controller_processor_role.

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 on when to use this tool over others, no prerequisites, no exclusions or alternatives mentioned. The description only states the function without context for tool selection.

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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