aaddyy_tshirt_designer

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

No annotations are provided, so the description carries the full burden. It does disclose a genuinely useful behavioral trait — the ~6 credit cost per generation — but says nothing about latency, whether results are async, whether inputs like logo_image/inspiration_image must be hosted URLs, or what the generated output looks like for a 22-parameter generation job.

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?

A single front-loaded sentence covering purpose, key input categories, output nature, and cost. Tight and waste-free, though it could arguably trade a few listed input nouns for actual guidance.

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 22-parameter generation tool with no annotations and no output schema, this one-liner is far too thin. An agent has no way to know defaults, valid value formats for the free-form string parameters, or what the tool returns.

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 0% across 22 parameters, so the description must compensate and largely does not. It gestures at categories ('text prompts, brand assets, style preferences, realistic mockups') which loosely map to prompt, logo_image, art_style/mood, and mockup_style, but leaves numeric (num_images, creativity_level) and text-format (text_color, output_format) parameters unexplained.

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+resource ('Generate custom, print-ready T-shirt artwork') and scopes the domain to apparel design, which differentiates it from generic siblings like aaddyy_image_generator or aaddyy_logo_creator. It never names those siblings explicitly, so the differentiation is implicit rather than stated.

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?

There is no guidance on when to pick this over aaddyy_image_generator, aaddyy_logo_creator, or aaddyy_product_photo_studio. The only operational hint is the credit cost, which is helpful but not usage criteria.

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