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SoapyRED

FreightUtils MCP Server

airline_lookup

Read-onlyIdempotent

Find IATA/ICAO codes, AWB prefixes, and cargo capabilities by searching 6,352 airlines by name, code, prefix, or country.

Instructions

Search 6,352 airlines by name, IATA/ICAO code, AWB prefix, or country.

Use this tool when you need to:

  • Find an airline's IATA code, ICAO code, or air waybill (AWB) prefix

  • Verify airline cargo capabilities

  • Look up airlines by country

AWB prefixes are 3-digit codes used on air waybills to identify the issuing carrier (e.g., 176 = Emirates).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
iataNoExact IATA code (2 alphanumeric chars)
icaoNoExact ICAO code (3 letters)
queryNoGeneral search (name, code, prefix, or country — min 2 chars)
prefixNoAWB prefix (3 digits, e.g., "176")
countryNoFilter by country name (min 2 chars)
Behavior4/5

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

Annotations declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint. The description adds value by noting the database size (6,352 airlines) and explaining AWB prefixes with an example. No contradictions.

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

Conciseness5/5

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

Two succinct paragraphs: the first states the tool's function, the second lists use cases. Every sentence adds value, and key info is front-loaded.

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?

The description covers purpose and usage well given no output schema. It could mention that results return a list of airlines with codes, but for a lookup tool, the current description is nearly complete.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds meaning by explaining AWB prefixes (e.g., 176 = Emirates) and listing use cases. This enhances understanding beyond the schema.

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 searches airlines by name, IATA/ICAO code, AWB prefix, or country. This specificity distinguishes it from sibling tools like container_lookup or hs_code_lookup.

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?

Explicitly lists when to use (find codes, verify cargo capabilities, look up by country). While it doesn't mention when not to use, the sibling tools are all different, making the usage context clear.

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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