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

With no annotations, the description carries the full burden. It discloses the natural-language query capability and the e-commerce-only restriction, which is useful. However, it does not mention pagination, result format, or any potential side effects/read-only nature, so transparency is incomplete but not poor.

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 only two sentences long, front-loaded with the core purpose, and mentions key capabilities without any filler or repetition. Every sentence earns its place.

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?

Given the tool's complexity (8 parameters, no annotated metadata), the description covers the essential usage context, parameter families, and scope. A minor gap is the absence of any indication of return format, but the purpose of a search tool implies a result set, making this adequate.

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 already has 100% descriptive coverage for all parameters. The description summarizes the filter groups (category, price range, collection, stock status) but adds no semantic detail beyond what the schema property descriptions already provide, so the baseline of 3 applies.

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 clearly states the verb-resource relationship: 'Searches the product catalog of an e-commerce client.' It also adds a specific scope ('Only works for e-commerce clients') that differentiates it from sibling tools like search_clients and search_inventory.

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 clear context for use—searching product catalogs for e-commerce clients—and implies filters for narrowing results. However, it does not explicitly mention alternatives or when NOT to use this tool, so it stops short of full usage guidance.

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