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

No annotations are provided, so the description must carry the behavioral burden. It adds the useful detail that pricing uses the true execution price, but it does not state whether the tool is read-only, what inputs are required, whether it has side effects, or what kind of response to expect.

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 compact sentence with no filler and the key pricing concept is front-loaded. Its brevity is appropriate structurally, even though the content is under-specified for an undocumented schema.

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 tool with two undocumented parameters, no annotations, and no output schema, the description is too thin. It does not explain what the quote returns, what units or format the prices use, or how the integer leg counts affect the basket quote.

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?

Schema description coverage is 0%, and both parameters are undocumented integers. The description repeats the names simple_legs and deep_legs and ties them to pricing, but it does not explain what a leg is, what the integer represents, or how the two parameters interact.

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 states that the tool produces a pricing and exact basket quote, and it names the two leg categories being priced. That is enough to distinguish it from the verify_* siblings, though it does not explicitly explain the difference.

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?

There is no explicit guidance on when to call this tool, when not to call it, or how it relates to verify_cancel and verify_receipt. The pricing context implies usage, but the agent must infer the conditions.

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