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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It does not mention that includeEmpty affects whether empty sectors are returned, nor does it describe the output format, pagination, or any read-only guarantees. The description is purely a noun phrase and provides no behavioral traits beyond the existence of the list.

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 short sentence fragment with meaningful examples, containing no fluff. It is concise, though slightly under-specified, but still efficient for the low complexity of the tool.

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?

Despite the low complexity and schema coverage, the description leaves critical gaps: no indication of what the returned data looks like, how filtering works, or how includeEmpty changes results. For an AI agent to invoke correctly, more context is needed.

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?

The schema descriptions cover both parameters ('Optional text filter' and 'If true, include terms with no published products') with 100% coverage. The description adds only illustrative examples, not additional parameter semantics, so the baseline 3 is appropriate.

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 'Industrial sectors. E.g.: food, pharmaceutical, 3D printing, metalworking.' names the resource (industrial sectors) and provides concrete examples, but lacks an explicit verb like 'returns' or 'lists'. It is clear enough to infer a read-only list operation, but does not articulate a specific action or scope.

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?

There is no guidance on when to use this tool versus the many sibling get* tools (e.g., getProductCategories, getUsages). No context for typical use cases or alternatives is provided.

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