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

No annotations, so the description carries the full burden. It usefully discloses that the operation is free, the catalog size (507), and the return fields (ids, descriptions, prices), but says nothing about ranking, result limits, or what happens when no keywords match.

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?

Three short sentences, zero filler, and the core action and scope are front-loaded before the examples and return-value note. Nothing an agent must read is buried.

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 output schema, the description correctly compensates by naming the return fields. It is nearly complete for a 2-param discovery tool; only the limit/pagination behavior is left unaddressed.

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 50%: the 'query' param gets helpful examples in the description that go beyond the schema's bare 'Keywords', but the 'limit' parameter (1-30) is never mentioned in either the schema description or the description. Marginal added value.

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 (Search) and resource (Vextorium catalog of paid data services), plus concrete keyword examples that make the intent unmistakable. It does not explicitly differentiate itself from call_service or service_details, but the search-vs-invoke-vs-details split is inferable.

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: a discovery tool named 'search' that is 'Free' naturally precedes call_service, but the description never says when to use this versus service_details or call_service, nor any exclusions. Adequate but leaves routing to inference.

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