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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

generate_dpa_checklist

Create a comprehensive Article 28 Data Processing Agreement checklist tailored to your processing context and Azure requirements.

Instructions

Generate an Article 28 Data Processing Agreement (DPA) checklist.

Provides a comprehensive checklist of mandatory and recommended DPA clauses with Azure-specific considerations.

Args: context: Description of the processing relationship and context

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations exist, so the description carries the full burden. It discloses that the tool generates a checklist with specific content (mandatory/recommended clauses, Azure considerations), but does not state whether this is a read-only operation, any side effects, permissions needed, or limitations. This is moderate transparency.

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 extremely concise: two short sentences plus a compact parameter description. It is front-loaded with the core purpose and adds details efficiently without any superfluous content.

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?

For a single-parameter tool with an output schema (not shown), the description explains the input and output nature (checklist with specific content). It is complete enough for an agent to understand what the tool does and what to provide, though it could mention the output format or any return schema details.

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 0%, meaning no parameter descriptions in the schema. However, the description includes an 'Args:' section that explains the 'context' parameter should be a 'description of the processing relationship and context', which adds meaning beyond the raw schema type. This partially compensates for the lack of schema descriptions.

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 an Article 28 DPA checklist with mandatory/recommended clauses and Azure-specific considerations. It uses a specific verb ('Generate') and resource ('checklist'), and the purpose is distinct from sibling tools like generate_dpia_template or generate_ropa_template.

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 (e.g., generate_dpia_template). The description does not specify when-not to use it, prerequisites, or typical scenarios, leaving the agent to infer context from the tool name and description alone.

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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