Summarize ClickBank quickstats

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

Annotations already declare the operation as read-only, so no mutation warning is needed. The description adds the aggregation scope, but it does not disclose whether the summation spans all fetched pages or only the current page, nor does it describe the result format. This leaves some behavioral ambiguity.

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 a single front-loaded sentence with no filler. Every word contributes to identifying the operation, the data being summed, and the scope.

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?

The description and schema together cover how to invoke the tool for a basic use case, and all parameters are optional with documented defaults. However, there is no output schema and the description does not clarify the exact return shape or how pagination/maxPages affects the aggregated totals, leaving moderate gaps.

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 every parameter already has meaningful documentation including defaults and constraints. The description adds little beyond the 'account and date range' context, but the schema carries the parameter burden, so the baseline score of 3 is appropriate.

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 uses a specific verb ('Sum') and names the resource and scope ('sale, refund, and chargeback amounts for an account and date range'). It clearly distinguishes this aggregation tool from sibling list-style tools like list_quickstats, which would return raw rows rather than totals.

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 aggregation intent is clear and implies the tool should be used when totals are needed, but the description does not explicitly say when to prefer it over list_quickstats or mention any exclusions. Usage context is implied rather than stated.

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