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

No annotations are provided, so the description carries the full behavioral burden, but it does not state that this is a read-only search, how results are paginated, what authentication is required, or what the response contains. It explains the offers and verified filters, but those are parameter semantics rather than broader behavioral disclosure.

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 short and front-loaded, with the core action stated first and filter details following. There is no filler; every sentence contributes directly to understanding the search.

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 no annotations, no output schema, and 0% schema description coverage, the definition is too sparse for a five-parameter search tool. It lacks return-value expectations, pagination behavior, authentication context, and usage contrast with sibling search tools.

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 0%, so the description must compensate. It usefully explains offers and verified, and the main sentence implies q and category, but it omits the limit parameter and gives no detail on keyword/category matching behavior.

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: "Search sellers" by keywords and/or category. It is clear enough to distinguish sellers from services/datapoints at a high level, but it does not explicitly contrast this tool with sibling searches like search_services or search_datapoints.

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?

It gives implied usage through keywords, category, offers, and verified filters, so an agent can infer how to search. However, it does not state when to use this tool versus sibling search tools, nor does it provide exclusions or prerequisites.

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