lawful_basis_assessment

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

No annotations are provided, and the description does not disclose behavioral traits such as authorization requirements, rate limits, side effects, or failure modes. The 'caller' parameter hints at rate limiting but is insufficient for a complete behavioral picture.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with a summary sentence, then details, then args. It is slightly verbose by repeating parameters that could be omitted if schema had descriptions, but overall it is clear and well-organized.

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

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex (8 params, output schema, GDPR-specific), and the description covers purpose and parameters well. However, it lacks behavioral details and usage guidance, leaving gaps about what the tool actually returns or how to handle edge cases.

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

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

The input schema has 0% description coverage, but the description includes an 'Args' section that explains each parameter (e.g., processing_purpose, data_categories, controller_type) with context. This fully compensates for the schema's lack of descriptions.

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

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

The description clearly states the tool determines the appropriate lawful basis under GDPR Article 6, evaluating all six bases with AI-specific considerations. It distinguishes itself from sibling tools (breach_notification, classify_processing, etc.) which serve different compliance tasks.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for GDPR lawful basis assessment, but does not explicitly state when not to use or how it compares to siblings. The context from tool name and sibling list is clear enough, so it's adequate but not explicit.

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