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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only mentions 'recommend', which implies advisory output, but does not explain what the recommendation includes (e.g., specific products, steps), how inputs affect it, or any limitations. This is minimal disclosure for a tool with no annotations.

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, concise sentence that front-loads the key information: recommendation, label size, and target audience. There is no wasted verbiage; every word adds value.

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?

Although the schema documents parameters well, the description lacks context about what the recommendation actually contains, how the inputs are used, or what the user will receive as output. With no output schema and no annotations, the description is too sparse to be considered fully complete, but it sufficiently conveys the overall purpose.

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 schema provides 100% description coverage for all four parameters (platform, labelSize, printerModel, wantsAutomation). The tool description does not add extra meaning beyond the schema, so a 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 clearly states the tool's function: it recommends a 4x6 thermal-label printing setup specifically for Australian ecommerce sellers. The verb 'recommend' is specific and the resource is well-defined, distinguishing it from sibling tools like diagnose_shipping_label_workflow and find_labelchop_resources.

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 description implies the use case (Australian ecommerce sellers needing a label setup) but provides no explicit guidance on when to choose this tool over alternatives such as diagnosing workflows or finding resources. There are no exclusions or alternative references.

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