validate_data_safety

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

No annotations are provided, so the description bears full responsibility. It discloses that payloads are analyzed in memory and immediately discarded, and it explains the consequences of not validating ('unrecoverable regulatory exposure'). It also states the verdict is machine-ready, though it does not detail required permissions or potential side effects.

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 front-loaded with the core purpose and then structured into usage timing, return values, and next steps. Each sentence adds value, though it is somewhat lengthy. It avoids redundancy with the schema and annotations.

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?

Given the tool's complexity (multiple frameworks, multiple verdicts) and the presence of an output schema, the description is remarkably complete. It covers regulatory scope, return values, usage context, data handling policy, and escalation path. No important aspects are omitted.

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?

Schema description coverage is 100%, providing baseline clarity. The description adds extra value by explaining how each parameter improves verdict accuracy (e.g., 'context improves verdict accuracy', 'payload never stored', 'data_origin_ip improves regulatory accuracy'). This goes beyond the schema 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 validates a data payload against multiple regulatory frameworks (GDPR, HIPAA, PCI-DSS, etc.), specifying the verb 'validates' and the resource 'data payload'. It distinguishes itself from siblings by mentioning the follow-up tool get_safety_report, indicating a distinct workflow.

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 provides explicit when-to-use instructions: 'Call this BEFORE your agent passes any assembled payload to an external API... at the moment the payload is assembled'. It also guides the next step if the verdict is not SAFE_TO_PROCESS. However, it lacks explicit when-not-to-use scenarios or direct comparison with the 'lite' sibling.

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