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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

search_gdpr

Search GDPR articles and recitals by keywords to identify data protection requirements early in development.

Instructions

Search across GDPR articles and recitals by keywords.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It implies a read-only operation but does not mention safety, return format, or pagination. However, the presence of an output schema reduces the burden of explaining return values.

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 of 8 words with no redundant information. Every word earns its place.

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?

Given the tool's simplicity and the existence of an output schema, the description is largely complete. It could still benefit from a brief note on typical use cases or limitations, but it suffices for a basic search tool.

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?

With 0% schema description coverage, the description should compensate. It links the 'keywords' parameter to the search action but provides no details on format, specificity, or interpretation (e.g., exact match, case sensitivity). This adds minimal value beyond the schema.

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 searches across GDPR articles and recitals using keywords, specifying the verb 'Search', the resource 'GDPR articles and recitals', and the method 'by keywords'. This distinguishes it from sibling tools like get_article and get_recital which retrieve specific items.

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 such as search_definitions or get_article. With many sibling tools, the absence of usage context is a significant gap.

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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