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

The annotations already indicate readOnly, idempotent, and non-destructive behavior. The description adds transparency by detailing exactly what the response contains, and it does not contradict the annotations.

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 concise, using two clear sentences. It front-loads the main purpose and immediately follows with useful return details and a relevant next-step hint.

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?

With an output schema present, the description does not need to explain the return format. It provides enough context about the tool's role in the workflow, especially the relationship to setting defaults, making it reasonably complete.

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 coverage is 100% and both parameters (page, limit) are described in the schema. The description does not add additional parameter context, so it remains at the baseline for high schema coverage.

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: to list available AI configuration presets. It also names the specific resource (AI presets) and the fields returned, distinguishing it from other list tools like postnitro_list_templates and postnitro_list_brands.

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 the primary use case — browsing available presets before saving a preferred preset — by explicitly directing the user to postnitro_set_defaults afterward. It does not explicitly contrast with sibling tools, but the purpose is clear enough for an agent to choose this tool when listing presets.

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