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

With no annotations, the description must carry the behavioral burden, and it does disclose two key traits: results are restricted to public products and contain only essential (abbreviated) data, which sets expectations about completeness. It stops short of covering auth needs, no-match behavior, or pagination semantics beyond the limit parameter.

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, no wasted words, with the core search capability front-loaded and the routing hint second. Nothing is padded.

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?

No output schema exists, and the description compensates by stating what the response contains (public products, essential data) and where to go for more. For a 2-parameter search tool this is nearly complete, though it omits empty-result behavior and any pagination note beyond the limit cap.

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 100%, so both query and limit are fully documented in the schema; the description's list of search keys mirrors the query parameter but adds no new syntax or format detail. Baseline 3 applies 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 (search) and resource (Picătura Naturii products), enumerates the searchable keys (name, SKU, ID, barcode), and explicitly distinguishes itself from the get_product* siblings that return full details. An agent can separate this from get_product without opening the 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 an explicit escalation path: use this tool to locate a product, then call get_product / get_product_offer / get_product_content with the SKU found here. That is a clear when-to-use-this vs when-to-use-alternatives rule, not just implied context.

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