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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. Beyond that, the description discloses the semantic model of commitment levels (processing vs storage vs none vs unstated) and notes that routers and providers with no known sites are included — valuable context a caller could not infer from annotations.

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?

Content is well front-loaded with purpose first and usage second, but the opening sentence is a long comma-chained enumeration that is dense to parse. No sentence is wasted, though the field list could be tightened.

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 no output schema, the description carries the burden of describing return content and does so thoroughly: commitment level, region coverage, availability tier, programme name, statement, and source page with check date. That is sufficient for an agent to call it correctly without further documentation.

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 coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema by explaining the commitment taxonomy, which clarifies what filtering by `commitment` actually selects. It also frames the tool's output fields (region codes, availability classes), useful orientation even though it does not detail each parameter's syntax.

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 opens with a specific verb-and-resource statement — what each AI provider officially promises about where prompts, outputs and stored data stay — and enumerates the returned fields (commitment level, region codes, availability, programme, source page). It is clearly distinguishable from sibling tools like find_locations and search_offerings.

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?

It gives a concrete triggering question ('which providers keep data in the EU by default') and explicitly routes follow-up work to find_locations or search_offerings with `region`. Alternatives and sequencing are named rather than inferred.

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