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

With no annotations, the description carries the full behavioral burden. It usefully states that all prices are tax-included JPY, but it does not disclose result ordering, pagination behavior, whether the search is read-only, or how limit affects results beyond the schema.

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 compact sentences with no filler: the first establishes the store and search purpose, the second summarizes filters and pricing. It is front-loaded and easy for an agent to parse.

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 five-parameter search tool with no output schema, the description identifies the store, available filters, and currency/tax basis. It is adequate but incomplete on result behavior such as ordering, empty results, and how pagination or limit is applied.

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 all five parameters are already documented in the schema. The description adds the useful currency/tax context for min_price and max_price, but otherwise does not add parameter meaning beyond the schema.

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 specific verb and resource: searching products in the lanitech PC bargain store, with keyword/category/price filtering. It is clear enough to distinguish from get_product and list_categories by its search-and-filter nature, although it does not explicitly name those siblings.

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 filtering dimensions imply when to use this tool for product discovery, but there is no explicit guidance on when to prefer get_product for details or list_categories for browsing categories. Usage is inferable rather than stated.

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