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

With no annotations, the description carries the burden and does well: it discloses numbered sources, answer language following the question, an added side-by-side data table for two-product comparisons, and a refusal behavior for topics the site doesn't cover. It omits latency/auth/failure-mode details but the core behavior profile is visible.

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?

Four compact sentences, front-loaded with the core purpose, then output shape, then comparison edge case, then follow-up mechanics. No sentence is filler and each adds a distinct rule.

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 2-param tool with no output schema and no annotations, it covers the essentials: what it answers, what it returns (numbered sources), and how to chain follow-ups. Minor gaps remain on the lifetime/format of the answer id and what happens when no source is found.

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 both parameters are already documented ('frage' = natural-language question, 'nach' = previous answer id). The description's note about passing the previous answer id as 'nach' largely restates the schema, adding only the 'same conversation' framing — baseline 3 is appropriate.

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 ('Answers a question about vareen.net from the company's own website') plus the scope of its answer space. The purpose is unambiguous, but it never names or contrasts with the sibling an_vertrieb, so an agent must infer why it should pick this over the sales tool.

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 clear conditions: use it for website-grounded questions, pass 'nach' for follow-ups in the same conversation, and treat site-absent information as unanswerable. It stops short of naming alternatives or stating explicit when-not-to-use-tool-X rules.

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