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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered and the description does not contradict it. The description adds topical scope (payment mechanics, refunds, upgrade credit) but says nothing about the nature of the response — e.g. that it is static policy/documentation text rather than live account-specific data. Given the annotation coverage, a 3 is appropriate.

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 front-loaded sentence with the resource named first, followed by a compact enumeration of covered topics. Every clause maps to a real content area and there is no filler, though the trailing 'Kolo promise' item is vague on its own.

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 parameters, no output schema, and rich annotations, the description's main remaining job is telling the agent what information it will receive, and the topic list does that well enough to decide whether to call it. Minor gap: it does not clarify whether the content is static documentation or tailored to the current user's account.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description correctly implies no inputs are needed to retrieve the ordering information.

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 names the resource ('How to buy from Kolo Verify') and enumerates the specific topics covered: where services are sold, minimum order, platform fee, payment, refunds, upgrade credit, and the 'Kolo promise'. This clearly distinguishes it from the sibling lookup tools (find_services, get_service, list_packs, list_services), which retrieve service data rather than explain purchasing policy. It is not a verb-driven action tool, but the informational purpose is unambiguous.

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?

Consulting this before a purchase is strongly implied by the topic list, but the description never states when to call it (e.g. 'call before placing an order or when the user asks about fees/refunds') nor does it explicitly rule out using it for service discovery. Usage is inferable rather than directed.

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