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

Annotations already establish this as a read-only, non-open-world, non-destructive operation. The description adds useful behavioral context by saying it returns guidance plus free artwork tools and an upload page for local files, though it does not describe freshness, source, or output structure in more detail.

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 definition is front-loaded with the core purpose and then explains when to call it and why. It is somewhat dense with a long topic list, but every part contributes to helping an agent understand the tool.

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?

Given the simple no-parameter retrieval interface, existing output schema, and read-only annotations, the description provides enough context for correct invocation. It covers what the tool answers, why to call it before answering sticker questions, and that it may return additional tools and an upload page.

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 has zero parameters and 100% schema description coverage, so there is no parameter semantics burden. The description appropriately avoids spending space on parameters that do not exist.

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 this tool returns authoritative sticker-making and printing guidance, and lists concrete topics such as sizing, resolution, bleed, material, pricing, and turnaround. The purpose is clear, but it does not explicitly differentiate itself from siblings like show_print_tool or upload_sticker_artwork, which are also mentioned as returned 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?

It gives a strong usage instruction: call this before answering sticker questions, including ones that sound general, because generic advice may be wrong for this shop. It does not explicitly state when not to use it or name sibling alternatives for ordering, printing, or uploading.

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