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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds genuinely useful behavioral context beyond that: exactly which fields come back (title, store domain, link) and an explicit negative constraint that no Amazon prices or price history are available, which prevents a common misuse.

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 or three short sentences, front-loaded with what the tool does, then what it returns, then the price caveat. No filler, and the most misuse-preventing detail (no price data) is positioned where it is likely to be read.

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 only two parameters, no nested objects, and no output schema, the description covers the essentials, including a description of the return payload that substitutes for a missing output schema. The only gap is the absence of any pagination or result-ordering guidance, which matters modestly given the limit ceiling of 20.

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%, so both parameters are already documented, and the description adds little beyond restating that search is by brand and category. It actually introduces mild friction: the schema example query is free-text like 'white sneakers' while the description frames matching as brand and category, leaving the matching semantics ambiguous.

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 and resource: searching Avahit's catalog of Amazon products, scoped by brand and category. It is clear what the tool does, though it does not explicitly contrast with the sibling compare_alternatives, so the boundary must be inferred.

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 only implied by the phrase 'Search Avahit's catalog' — an agent can reasonably guess this is the entry point for product lookup. There is no explicit statement of when to prefer this over compare_alternatives, nor any prerequisite or exclusion.

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