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

Annotations already declare this read-only, idempotent, and closed-world, so safety is covered. The description adds useful context by enumerating the categories of information returned and clarifying that fares here are per-trip quotes, not live prices.

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?

Three sentences, each carrying distinct information: service identity, return contents, and the quote_ride redirect. There is no redundancy or filler.

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 zero-parameter informational tool with read-only annotations and no output schema, the description fully covers what an agent needs: what the tool returns and where to go for pricing. Nothing material is missing.

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 takes zero parameters, so there is nothing for the description to disambiguate. The baseline for a parameterless tool is 4, and no parameter-related confusion is possible.

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 precisely what the tool returns: service area, vehicle types with passenger/bag capacity, booking requirements, and cancellation/refund policy. It also distinguishes the tool from quote_ride, making the boundary between static service information and live pricing explicit.

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?

It explicitly routes price inquiries to quote_ride, which is the main ambiguity an agent would face among these siblings. It does not explicitly state when to call this tool (e.g., before booking or for policy questions), leaving that to be inferred from the listed return contents.

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