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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world profile, so the safety picture is covered. The description adds genuinely useful context beyond that: the source is a public knowledge base and the return value is the matching sections. It says nothing about result limits, ranking, or empty-result behavior, which keeps it at adequate rather than rich.

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 short sentences, front-loaded with the action and source, followed by the input hint; no filler. The explicit "Eingabe:" label is slightly redundant with the schema but is compact and helpful for front-loading.

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 one-parameter read-only retrieval tool with no output schema, the description covers what is searched, where, what is returned (matching sections), and the input language. Only the guidance on when to prefer a sibling and on handling empty results is missing, which is a modest gap for this complexity.

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% and the single parameter is fully documented, so the baseline would be 3. The description nevertheless adds the constraint that the query should be in German ("Frage oder Stichwort (Deutsch)"), which meaningfully steers how the agent formulates the input beyond the schema's type and length limits.

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 states a specific verb ("Sucht") and a specific resource ("öffentliche Wissensbasis von adfraudit.com") and narrows the topic to Klickbetrug, ungültiger Traffic and Fake-Leads in Google Ads. It clearly distinguishes itself from a generic lookup, though it never names the siblings (anbieter_vergleich, kostenloses_audit) to draw the boundary 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?

Usage is only implied: an agent can infer this is the tool for questions about click fraud and invalid traffic, but the description gives no explicit when-to-use, when-not-to-use, or routing to alternatives. There is no statement about what to do if the topic falls outside click fraud or if the knowledge base has no answer.

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