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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description still adds real behavioral context: output length is bounded to 2-4 sentences, answers come only from internal knowledge, and unknown topics trigger an honest fallback rather than fabrication.

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 dense sentences, front-loaded with the action and its constraints, with no filler. Slightly compressed but nothing that fails to earn its place.

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 read-only single-question tool with no output schema, the description covers the essentials an agent needs: bounded output length and honest-fallback behavior on unknown topics. An explicit pointer to flowboxx_anfrage for the alternative case is the main thing missing.

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?

There is one parameter and schema description coverage is 100%, so the schema already documents 'text' with its 600-character limit. The description adds only the characterization of the input as a 'freie Frage'; baseline 3 applies since the schema does the heavy lifting.

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: answering a single free-form question about flowboxx, scoped to 2-4 sentences and to its own knowledge. The 'einzelne freie Frage' framing does distinguish it from plural-question siblings, but it never names flowboxx_anfrage, so differentiation is left to inference.

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?

Usage is implied by 'eine einzelne freie Frage' (single vs. bulk) and by restricting answers to own knowledge, which signals a self-contained Q&A rather than a lookup. However there is no explicit when-to-use/when-not-to-use statement and no alternative named among the seven siblings.

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