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

With no annotations, the description carries the full behavioral disclosure burden. It does not state whether the operation is read-only, how results are ordered, whether pagination exists, or whether an empty result set is possible — all important for a search tool with zero annotation coverage.

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 efficient sentences with no filler, front-loaded with the core action and immediately followed by filtering options. It could be tightened slightly but wastes nothing significant.

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 no annotations and no output schema, the description is minimal. It lacks usage routing relative to siblings and says nothing about result behavior (ordering, limits, empty results), leaving meaningful gaps for an agent to call it correctly.

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 the schema already documents all three parameters, including the category slug enum values. The description adds marginal value by noting the query is matched against name, brand, award, and use case — behavior beyond the schema — but this is a baseline-equivalent contribution given full schema coverage.

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 states a clear verb ('search or browse') and resource ('recommended products'), and specifies the matching fields (name, brand, award, use case). However, it doesn't explicitly differentiate from siblings like recommend_product, which might also return recommended products, so it falls short of a 5.

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?

Usage is implied by 'filter by category slug, maximum price, and/or a free-text query', suggesting this is the tool for filtered product discovery. But there is no explicit when-to-use guidance versus alternatives such as recommend_product or compare_products, leaving the agent to infer the fit.

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