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

With no annotations provided, the description carries the full burden for behavioral disclosure. It states the output ('preview URL and generation status') but does not clarify whether the item is persisted to inventory, whether generation is asynchronous, if there are costs or authentication requirements, or what 'generation status' means. This leaves significant behavioral ambiguity for a mutation-like tool.

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, front-loaded sentence that immediately states the action and key output. It contains no filler, redundancy, or unnecessary words, making it highly efficient and scannable.

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?

Without an output schema, the description should fully explain the result and side effects. It mentions a preview URL and generation status but does not define what 'generation status' entails, nor whether the item becomes part of the user's inventory. Given the tool's complexity (5 parameters, AI generation, likely async behavior) and lack of annotations, the description is under-specified.

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 already provides detailed descriptions for all 5 parameters (100% coverage), so the description does not need to add much. The description only implicitly references the 'description' parameter via 'text prompt' and does not enhance parameter understanding beyond the schema. Baseline 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 uses the specific verb 'Generate' and clearly identifies the resource ('a new marketplace item') and method ('from a text prompt using AI'). It also distinguishes from sibling tools like agentlux_list_item (which lists items for sale) and agentlux_get_item (which retrieves item details), making the tool's unique 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 implies usage for AI-powered item generation, but it does not explicitly state when to use this tool versus browsing or listing items. No prerequisites, exclusions, or alternative recommendations are provided. This is implied usage rather than explicit guidance.

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