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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=false), and the description goes beyond them by disclosing the response envelope: count vs total, has_more semantics, the 50-item ceiling, and an explicit caution against concluding absence from a partial list. That is exactly the behavioral context annotations cannot carry.

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?

Front-loaded with the purpose sentence, then use cases, then alternatives, then response-size semantics in a logically ordered progression. The pagination paragraph is slightly long but every clause carries operational value; little could be cut without losing guidance.

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 must carry return-value explanation, and it does: it names the fields returned (name, country, certifications, profile identifier) and fully explains the pagination envelope. Nothing an agent needs to call this correctly or interpret the result 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 both parameters are already documented, making 3 the baseline. The description adds meaning beyond the schema by tying locale to the returned text fields and confirming result ordering, plus restating the 50 cap in the pagination guidance.

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 ('List verified manufacturers published on Gemalli') and enumerates the returned fields and ordering ('newest first'). It explicitly distinguishes itself from search_products, so an agent can route without opening either schema.

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 concrete invocation triggers quoted as user phrasings ('who makes X', 'which factories/producers/suppliers are on the platform'), an explicit disambiguation rule ('a question about companies stays this tool even when it names a product'), and names the alternative with its condition ('to find a specific product or filter goods by country, use search_products').

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