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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. With no output schema present, the description earns credit by disclosing the shape of what comes back (area, service, audience, receipt link, status). It says nothing about volume, ordering, or freshness of the list, which keeps it out of the top band.

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?

Two sentences, zero waste: the return content is stated first and the usage condition follows. Every clause carries information.

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?

For a parameterless, read-only catalogue lookup with no output schema, the description supplies everything an agent needs: what is returned, in what structure, and the situation that calls for it. Annotations cover the remaining safety semantics.

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 tool takes zero parameters, so the baseline is 4 and there is no parameter behaviour the description could add or omit. Nothing in the text contradicts the empty schema.

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 ('Gibt die strukturierte Liste aller flowboxx-Leistungen zurueck') and even enumerates the returned fields (Bereich, Leistung, fuer wen, Beleg-Link, Status). It implicitly separates itself from the sibling query tools (flowboxx_frage, flowboxx_anfrage, flowboxx_bedarf) by framing itself as the catalogue of what flowboxx offers, but no sibling is named explicitly.

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?

'Nutzen, wenn jemand wissen will, was flowboxx grundsaetzlich anbietet' gives a clear triggering condition for the tool. It stops short of naming alternatives or exclusions (e.g. when to prefer flowboxx_frage or flowboxx_bedarf instead), so routing against the sibling set is left partly to inference.

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