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

The description goes beyond annotations by disclosing that no change occurs until human approval and that an approval URL is returned first. It also hints at idempotency by instructing to reuse the same requestId and details to retrieve results. Annotations already indicate non-read-only, non-destructive, and idempotent behavior, but the description adds crucial async workflow details and security constraints, adding meaningful value.

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 extremely concise, delivering essential information in four short sentences. It front-loads the primary purpose, then covers security, workflow, and retrieval steps without unnecessary verbiage. Every sentence contributes directly to correct tool usage, demonstrating excellent structure and brevity.

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?

The description covers the core aspects: purpose, security, async approval flow, and how to retrieve results. Given the nested object structure and existing output schema, the description does not need to explain return values. It lacks explicit differentiation from sibling ticket tools, but the names and purpose are clear. The inclusion of the idempotent reuse instruction adds completeness. Overall, it is sufficient for correct invocation, though it could be slightly more explicit about when to use alternative ticket tools such as ticket_get.

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 input schema has no descriptions (0% coverage), so the description carries the burden of explaining parameters. The description mentions 'requestId' and 'details' in the context of retrieval, but does not explain the individual fields (subject, description, category, priority) or their enums. The parameter names are self-explanatory, but the lack of field-level guidance means agents must infer meaning from names alone, which is insufficient for full understanding. A score of 2 reflects that the description provides minimal parameter semantics.

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 verb and resource: 'Create a support ticket', and adds the additional action 'notify AurasPay support'. This is specific and distinct from sibling tools like auraspay_ticket_get or auraspay_ticket_reply, which are immediately recognizable as different operations by name and description.

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 provides clear context on when to use the tool: to create a support ticket, with explicit security guidance on what not to include. It also explains the asynchronous flow (approval URL, no immediate change) and the requirement to reuse requestId and details for later retrieval. While it does not explicitly name alternative tools or state when not to use it, it offers sufficient usage context for a single-purpose creation tool.

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