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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

get_recital

Retrieve the full text of any GDPR recital by its number to quickly reference legal justifications during development.

Instructions

Get the text of a specific GDPR recital.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
recital_numberYes

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 bears full responsibility. It only notes the action (get) without detailing behavior on missing recital numbers, error handling, or output format. The description is minimally transparent.

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 a single, front-loaded sentence with no extraneous words. It is appropriately concise.

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?

Given the output schema exists to document return values, the description covers the basic purpose. However, it does not explain what a recital is or how it differs from articles/definitions, which could help the agent decide when to use this tool. Slight gap in completeness.

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

Parameters1/5

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

The input schema has 0% description coverage, and the tool description adds no information about the recital_number parameter, such as expected format (e.g., integer vs. string) or value constraints. The description fails to compensate for the schema's lack of detail.

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 retrieves the text of a specific GDPR recital, using a specific verb and resource. It implicitly distinguishes from sibling tools like get_article and get_definition by focusing on recitals.

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 select this tool over alternatives such as get_article or get_definition. The description does not mention context or prerequisites for using the tool.

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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