Dynamic Mockups

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 and does so effectively. It discloses cost (6 credits per request), input requirements (mutually exclusive image_url or image_data_b64), output behavior (temporary URL that should be downloaded), and practical tips for best results. The only minor gap is lack of explicit rate limit or error handling information.

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 well-structured with clear sections (API, COST, WHEN TO USE, INPUT, TIPS, RETURNS) and every sentence earns its place by providing essential information. It's appropriately sized for a tool with cost implications and specific usage scenarios, with no redundant or unnecessary content.

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 tool's complexity (image transformation with cost implications), no annotations, and no output schema, the description provides comprehensive context. It covers purpose, usage guidelines, behavioral aspects (cost, input constraints, output handling), parameter semantics, and practical tips. The description fully compensates for the lack of structured metadata.

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 description coverage is 100%, so the baseline is 3. The description adds significant value by explaining the mutual exclusivity requirement ('Only ONE input method is required per request'), providing context about supported formats, and offering practical guidance for best results. This goes well beyond what the schema provides, though it doesn't add syntax details beyond the schema.

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 purpose with specific verbs ('Transform any image into a realistic embroidery/stitched effect') and distinguishes it from siblings by focusing on embroidery transformation rather than rendering, mockup editing, or file management. It provides concrete use cases that make the purpose 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?

The description explicitly includes a 'WHEN TO USE' section with four specific scenarios for using this tool, such as converting artwork to embroidery style or preparing designs for print-on-demand products. This provides clear guidance on when this tool is appropriate versus other tools in the sibling list that handle different tasks like rendering, collections, or file management.

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