Get EU and GDPR Tools

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

Annotations already declare this as a safe, read-only, idempotent, open-world query, so the safety profile is covered. The description adds genuinely useful behavioral context beyond them: compliance data is provider-published rather than verified by the service, with an explicit instruction to verify before relying on it — a trust/accuracy caveat an agent needs.

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?

Three compact sentences, front-loaded with the core purpose before the audience guidance and the verification caveat. Every sentence carries information; the only mild excess is the mildly promotional "Essential for..." framing.

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?

With annotations covering safety, an output schema handling return values, and full schema documentation for all three params, the description covers what remains: purpose, audience, and the data-reliability caveat. Missing only an explicit sibling hand-off for unfiltered searches, a minor gap for a 3-param read tool.

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%, with the enum, default, and limit bounds all documented in the schema itself. The description's mention of "GDPR-compliant or EU-hosted" loosely mirrors the 'standard' param values but adds no syntax, format, or filtering nuance beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ("Find AI tools") with a clear differentiator scope ("GDPR-compliant or EU-hosted"), which separates it from the generic search_ai_tools sibling. It stops short of naming that sibling explicitly, so the distinction relies on the reader noticing the compliance qualifier.

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?

Gives concrete when-to-use context ("European businesses, healthcare, legal, and any use case requiring data sovereignty"), which is more than most definitions offer. It does not, however, state when NOT to use it or point to search_ai_tools for non-compliance-filtered queries.

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