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

Annotations already declare the full safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is low. The description still adds real context beyond the annotations: the authoritative data sources, the Croatian scope, and the specific data points each recall carries. It does not mention pagination or result caps, but the limit param covers that.

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 with the purpose front-loaded and the source/field detail packed into a parenthetical. Dense but nothing is wasted; the only mild redundancy is re-listing search dimensions already in the schema.

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?

With an output schema present, the description needn't explain return values, yet it helpfully enumerates the fields anyway. Annotations carry the safety semantics and the schema fully documents parameters, so an agent has everything needed to invoke this correctly; only explicit alternative-tool guidance is 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?

Schema coverage is 100%, so the schema already documents q, lang, and limit. The description's 'Search by product, brand, store or hazard' and 'lang=en for English' largely restate the q and lang schema descriptions, adding little new syntax or format detail. Baseline 3 is appropriate when 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 ('get_product_recalls' = product recalls) and immediately scopes it: Croatia, with named sources (HAPIH, EU RASFF, Safety Gate) and the returned fields (product, brand, stores, risk, reason, link). This is unmistakably distinct from every sibling, all of which are news/story/digest tools.

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?

The description implies usage by listing the searchable dimensions ('Search by product, brand, store or hazard'), which tells the agent how to query, but never states when to reach for this tool versus alternatives, nor any exclusions or prerequisites. Adequate but no explicit routing guidance.

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