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

With no annotations, the description carries the full burden and does reasonably well: it discloses the verdict taxonomy, that the call is free, the ban-reason and cost outputs, and an explicit scope limitation (no legal or tax advice, not a KYC bypass). It does not state whether the call is read-only/idempotent or whether tools like get_plan are prerequisites.

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?

Front-loads the usage directive before the return-value detail, and the trailing "Free. No legal or tax advice..." sentences are short and load-bearing. The middle sentence is dense with German verdict tokens and bracketed field names, which costs some readability but not much space.

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?

There is no output schema, so the description must describe returns and does: verdict, top ban reasons, risk_without_plan with sources, and what_the_plan_adds. This covers a 4-parameter query tool adequately, though it omits error/empty-result behavior and any prerequisite on get_platform/list_platforms.

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 genuine meaning by tying the inputs together: the verdict depends jointly on country, automated operation, and AI content. It explains why those parameters matter rather than just restating them.

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+resource: it returns a verdict (ja/bedingt/unklar/nein) on whether an agent-run, AI-content setup can earn on a given platform from a given country. That is clearly distinguishable from siblings like get_plan, get_platform, list_platforms, and recommend, and it even names plan-related output fields.

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?

"Use before automating anything on a platform" gives a clear trigger condition, and "never use it to bypass KYC or platform rules" sets a hard boundary. It does not, however, name an alternative sibling tool or say when NOT to run the check.

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