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

With no annotations, the description carries the full burden, and it does disclose meaningful matching semantics: all words, any order, case-insensitive. That is genuinely useful behavior beyond the schema. It omits, however, pagination behavior, default page size, sort/relevance defaults, and result limits, so the disclosure is partial.

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?

A single sentence with zero padding, and the matching semantics are stated upfront. Every clause 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?

No output schema and no annotations mean the description must stand alone, and for a 4-parameter search tool it leaves pagination behavior, defaults, and sibling differentiation unaddressed. It is adequate for the core query semantics but not complete for confident invocation.

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 only 25% (only sort is documented), so the description should compensate. It does clarify what the query string matches against — the single most important parameter — but adds nothing about page, page_size, or their defaults and bounds, leaving half the parameters to inference.

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?

Names the specific resource (products of Seating Co) and specifies exactly which fields are matched (title, description, brand, category, attributes), so the agent knows this is a keyword search rather than a browse or product lookup. However, it never distinguishes itself from siblings like browse or filter, which an agent could easily confuse it with.

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 when-to-use guidance and no mention of alternatives. Siblings include browse, filter, product, and categories — all plausible competing retrieval paths — yet the description gives no condition for choosing this one over them.

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