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

Annotations already cover read-only, idempotent, and closed-world traits. The description adds genuinely useful behavior: a 20-entry pagination cap with a total returned, and that a query narrows a longer list. It does not explain ordering or how to page beyond the cap.

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?

Dense but front-loaded, leading with what the tool returns before the filter mechanics. Several clauses (slug vs generation slug, is_line, part_of) earn their place, though the middle section is packed and could be tighter.

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 carries return-value burden well, describing lifecycle states, report counts, product_slug, is_line, and part_of. Still, it doesn't detail full entry fields or pagination navigation, leaving minor gaps for a list tool.

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% and the schema already documents the query parameter. The description adds marginal value by restating it filters by name and giving a second example, but nothing beyond what the schema provides.

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 ('Every product iDevice covers') with clear scope, and the singular sibling get_product plus find_products make the plural/list distinction readable. It even enumerates what each entry contains (lifecycle, report count, product_slug).

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?

Explains how the optional query narrows results and gives an example, but never says when to prefer this over find_products or get_product. Slug semantics are described but framed as an explanation of output shape rather than guidance on choosing this tool.

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