Skip to main content
Glama
KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

get_azure_mapping

Maps Azure service recommendations to a specific GDPR article to ensure data protection compliance.

Instructions

Get Azure service recommendations mapped to a specific GDPR article.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
article_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations are provided, and the description lacks any behavioral traits such as error handling, read-only nature, or rate limits. The minimal description fails to compensate.

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?

Single sentence, 10 words, no redundancy. Efficient but could include more detail without harming conciseness.

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?

With an output schema present, return values don't need explanation. However, input format and potential errors are not addressed, making it adequate but not complete.

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 coverage is 0%, so the description must add meaning. It clarifies that article_id refers to a GDPR article, but does not specify format (e.g., 'Article 17' vs '17'), leaving ambiguity.

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?

Description clearly states the verb 'Get', the resource 'Azure service recommendations', and the context 'mapped to a specific GDPR article', making it distinct from siblings like get_article or get_dpia_guidance.

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 explicit guidance on when to use this tool versus alternatives. Among many GDPR-related siblings, no context is provided for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KevinRabun/GDPRShiftLeftMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server