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

Annotations already declare readOnlyHint, openWorldHint=false, idempotentHint, and destructiveHint=false, but the description adds important behavioral context beyond them. It explicitly says the tool does not generate anything, does not use credits, and does not mean a model exists, which prevents costly misinterpretation.

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 three compact sentences, front-loaded with the core action and followed by constraints and the alternative tool. Every sentence adds distinct value without repetition.

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?

For a simple link-building tool with full annotation coverage, one fully documented parameter, and no output schema, the description is complete. It covers what the tool does, what it does not do, and when to choose the sibling instead.

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 100% and there is only one parameter, so the schema already documents the prompt argument fully. The description adds that the prompt is prefilled into the generated link, but it does not add format or validation details beyond that baseline.

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 states a specific verb and resource: building a printpal.io link that opens the AI 3D generator with a prefilled prompt. It also explicitly distinguishes this from actual generation and from the sibling tool prepare_3d_generation.

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 clear when-to-use condition: users who want to generate on the website themselves. It also names the alternative and condition: when the user wants the model made here, use prepare_3d_generation instead.

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