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nstevens

flight-finder

by nstevens

get_seat_map

Retrieve seat map URL and cabin product data (pitch, width, recline, amenities) for an aircraft by carrier and aircraft code or slug.

Instructions

AeroLOPA cabin product + seat map URL for a specific aircraft.

Provide either `slug` (e.g. "ba-351") to skip resolution, or both
`carrier` (IATA, e.g. "BA") and `aircraft` (IATA code or displayed name).

Returns the structured CabinProduct dict — aircraft type, per-cabin pitch /
width / recline / amenities, free-text seat notes, and the
direct-CDN-cached seat map SVG URL. All cabins are included; pick the one
matching your offer cabin via `cabins[].cabin_type_name`.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
carrierNo
aircraftNo
slugNo
Behavior4/5

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

With no annotations, the description carries full burden. It discloses the return structure and that it's a read-only lookup, but doesn't mention errors, auth, or rate limits. Adequate but not exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is well-structured with purpose first, then usage, then return details. Slightly long but every sentence adds value; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description covers input, output structure, and usage patterns well. Missing edge cases like conflict between slug and carrier/aircraft, but overall complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, but the description compensates fully by explaining each parameter with examples and expected formats (IATA codes, displayed names, slug pattern). Adds significant value beyond schema types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves cabin product and seat map URL for a specific aircraft, with a specific verb and resource. It distinguishes from sibling tools which are about flight search and trip planning.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Describes two parameter combinations (slug or carrier+aircraft) and when to use each, but doesn't explicitly state when NOT to use or mention alternative tools. Still clear enough for correct invocation.

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

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