List agent models and Point weights

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does convey a read-only 'List' action and 'current server pricing' implies live data. However, it does not mention response format, authentication, pagination, or whether the call has side effects or costs.

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 sentence with no filler, front-loaded with the verb and object. It communicates the full scope of the listing efficiently.

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 simple zero-parameter list tool with no output schema, the description covers the expected content: models, pricing, capabilities, BYOK support, and sample quotes. It could specify the return format more explicitly, but the described scope is largely 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 tool has zero parameters and 100% schema description coverage, so parameter documentation is unnecessary. The description still adds semantic value by listing the categories of data returned, such as BYOK support and sample Point quotes.

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 names a specific verb ('List') and resource ('agent models'), then enumerates concrete content categories: providers, pricing, capabilities, BYOK support, and Point quotes. It is clearly distinct from the AI-pack-focused sibling 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 description implies use when an agent needs the agent-model catalog, but it gives no explicit when-to-use or when-not-to-use guidance and names no alternatives. The siblings are all AI-pack operations, so inference is easy, but the description itself does not provide routing guidance.

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