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

Annotations already establish readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds genuinely non-structured context: the caveat that published alerts are not a product failure rate, plus the presence of dated sources and bounded data windows.

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 tightly packed sentences with the substantive scope front-loaded and the interpretive caveat placed last where it belongs. It is dense but every clause carries information; no filler.

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 no output schema, the description does the work of sketching the return payload (hazards, counts, share, due-diligence questions, sources), which is a real strength. The gaps are the unmentioned market parameter and the required-either-category-or-product rule.

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 description coverage is 67% (product and category are documented, market is not), so the baseline is 3. The description reinforces category-keyword matching and the two market data sources, but it never explains the anyOf constraint requiring either category or product, nor the uk/eu/both market enum.

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?

Names the concrete resource and scope: top hazards, China-origin alert counts and share of published alerts by product category, sourced from UK OPSS and EU Safety Gate. This is specific enough to separate it from siblings like find_uk_compliance or check_china_import_rules, though it reads more as a description of returned content than a crisp verb+resource statement.

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 through the mention of 'supplier due-diligence questions', which hints at the use case, but there is no explicit when-to-use, when-not-to-use, or routing to alternative tools. An agent must infer the trigger conditions from the topic alone.

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