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

Annotations already mark it as non-read-only and open-world, and the description adds meaningful behavioral details beyond that: authentication via OAuth, consumption of a search credit, paid-plan access to new flights, and freshness of the data. These are valuable operational traits not encoded in the structured fields. No contradiction exists between the description and 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, with three sentences that each add information: the core purpose, the auth/account requirement, and the cost/access/result details. The main purpose is front-loaded. It is slightly dense, but every sentence earns its place without unnecessary elaboration.

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 two-parameter tool with full schema coverage and no output schema, the description covers the essential operational context: return type (interactive seatmap), authentication, credit usage, and data freshness. It does not mention error cases or what happens when a flight isn't found, but this is minor given the tool's simplicity and the other covered details.

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 provides full documentation for both parameters: flight_number includes an example, and flight_date includes format and default. The description itself adds no parameter-specific detail beyond the general action of searching for a flight. With 100% schema coverage, a baseline score of 3 is appropriate.

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 a specific action ('Search for a flight') and a concrete result ('get fresh seatmap data', 'Returns an interactive seatmap with the results'). It clearly distinguishes the tool as a search operation that yields seatmap data. However, it does not explicitly differentiate itself from sibling tools like get_seatmap or interactive_seat_finder, so it falls short of perfect clarity.

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 useful usage context: requires a signed-in account, uses OAuth, consumes a search credit, and paid plan users can fetch new flights. However, it offers no explicit guidance on when to choose this tool over alternatives, such as get_seatmap for already-cached seatmaps, nor any when-not-to-use conditions. The usage case is implied rather than stated directly.

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