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

The annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new information beyond them: results are canonical URLs suitable for citation, which matters because no output schema exists. It stops short of describing ranking, result shape, or what an empty search returns.

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, front-loaded with the action and scope, with the return-value note last. The parenthetical topic list is slightly promotional but still helps an agent judge topical fit; nothing is redundant.

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 two-parameter read tool with no output schema, the definition covers subject matter, scope, safety (via annotations) and return form (canonical URLs). Minor gaps remain around ranking, result count behavior and empty-result handling, but nothing blocks a correct call.

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 both parameters are fully documented, including min/max and the German-or-English language note. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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?

Uses a specific verb ('Full-text search') plus a bounded resource ('all articles on www.mikebild.dev') and even names the topical domain. The scope is unambiguous, though it never contrasts itself with the sibling list_articles, so an agent must infer the difference between searching and listing.

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 rather than stated: 'full-text search' suggests keyword lookup, which an agent can reasonably set against list_articles, but no explicit when-to-use/when-not or alternative is named. The 'cite' remark hints at a research use case without formalizing it.

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