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

With no annotations supplied, the description usefully discloses the 15 USD per-call charge, supported currencies and networks, an XRPL quote flow, and asynchronous behavior returning order_id and status_url. It still leaves important lifecycle behavior unexplained, including how to poll status_url, how callbacks work, and whether authentication or other operational limits apply.

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 compact and contains concrete operational details with little filler. However, the lengthy payment instruction dominates the text while the basic purpose is omitted, so its front-loading and prioritization could be better.

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?

Cost and asynchronous response details are useful, but the absence of annotations and an output schema, combined with sparse nested inputs, leaves substantial gaps. Core scan behavior, result content, status polling, callback semantics, and two parameters remain unexplained, limiting reliable selection and end-to-end invocation.

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 states that inputs requires skill_md or skill_url, while the description merely repeats inputs in the external quote request body. It adds no meaning for buyer or callback_url and does not clarify the nested object shapes, leaving the 33% schema coverage largely uncompensated.

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?

“Opslane Skill Scan Lite” largely restates the tool name without explaining what is scanned, what assessment is performed, or what result is produced. The pricing, payment, and asynchronous details do not clarify its function or distinguish it from the sibling order tools.

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 paid-per-call warning and payment routes help a caller transact, but they do not explain when this scan is appropriate or when another tool should be preferred. There is no guidance about use cases, exclusions, or choosing between skill_md and skill_url for a particular workflow.

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