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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds useful context that only 'published' products are searched and that the search targets name, tagline, or maker. However, it does not disclose behaviors like result ordering, pagination, or query matching semantics beyond the annotations.

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?

The description is a single sentence that front-loads the key verb and object, with no filler or redundancy. Every word earns its place, and the structure is ideal for quick agent scanning.

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 search tool with three parameters and no output schema, the description provides the essential purpose but omits return value details, pagination behavior, and whether category is combinable with query. The annotations cover the safety profile, so this is moderately complete but leaves meaningful gaps for an autonomous agent.

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 only 33% (only category is documented). The description partially compensates by clarifying that the query parameter searches across name, tagline, or maker, but it leaves the limit parameter entirely undocumented in both schema and description. This is partial compensation for the coverage gap, not full.

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?

The description uses a specific verb ('Search') with a clear resource ('published products') and criteria ('by name, tagline, or maker'). This clearly distinguishes it from sibling tools like get_product (fetch a single product) or list_categories (list categories), making its purpose unambiguous.

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 gives no guidance on when to use this tool versus alternatives. It does not mention conditions for using get_product to fetch details, list_categories for category navigation, or any exclusions such as 'only use for published products'. Usage must be inferred entirely from the tool name and sibling list.

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