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KevinRabun

io.github.KevinRabun/GDPRShiftLeftMCP

by KevinRabun

get_dsr_timeline

Retrieve GDPR-mandated response deadlines and extension rules for a given Data Subject Request type.

Instructions

Get GDPR-mandated response timelines and extension rules for a DSR type.

Args: request_type: Type of DSR

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_typeYes

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 states the basic function (read operation) but fails to disclose behavioral traits like authentication requirements, data freshness, or rate limits.

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 very brief with two lines, no unnecessary words. However, it could be better structured with examples or value constraints.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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 need not be explained, but the input parameter lacks detail. For a single-parameter tool, providing valid request_type values or examples would complete the context. The description is incomplete.

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%, and the description adds 'Type of DSR' for request_type, which is vague. No enum, examples, or further clarification on valid values, leaving the agent with insufficient information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves GDPR-mandated response timelines and extension rules for a DSR type, specifying the action and resource. It distinguishes from siblings like get_dsr_guidance and analyze_dsr_capabilities by focusing on timelines.

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 versus alternatives such as get_dsr_guidance or analyze_dsr_capabilities. The description implies it is for checking specific legal deadlines, but no explicit context or exclusions are provided.

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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