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forgemeshlabs

Travel Assistant MCP

search_travel_options

Read-onlyIdempotent

Search for flight options between two airports, specifying origin, destination, and optional dates. Get route details and external booking links.

Instructions

Primary travel search workflow for one origin-destination airport pair. Use when the user wants flight/trip options for a specific route; use compare_routes for multiple routes, build_booking_link only when route details are already known, and get_airport_info only to validate one airport. Read-only, no authentication, no booking side effects. return_date is optional; omit it for one-way trips. Responses include route metadata and may include commission-eligible external booking links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
originYesOrigin airport IATA code (e.g. 'LAX', 'JFK'). Case-insensitive.
destinationYesDestination airport IATA code (e.g. 'LHR', 'NRT'). Case-insensitive.
departure_dateNoDeparture date in YYYY-MM-DD format. Optional — omit for open date searches.
return_dateNoReturn date in YYYY-MM-DD format. Omit for one-way trips.
currencyNoISO 4217 currency code (default: USD). Used in booking link parameters.
Behavior5/5

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

Annotations already declare readOnlyHint, non-destructive, idempotent, and openWorld. Description adds 'no authentication, no booking side effects' and mentions response includes route metadata and commission-eligible links, going beyond annotations to clarify safety and output characteristics.

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?

Four sentences, no wasted words, front-loaded with purpose and usage, then parameter guidance and behavioral traits. Every sentence adds value.

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

Completeness5/5

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

Given 5 parameters, no output schema, but rich annotations, the description covers purpose, usage, parameter hints, behavioral safety, and response hints. Complete for an AI agent to decide when and how to invoke.

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% with well-described parameters. Description adds context that currency is used in booking link parameters and reinforces return_date optionality, providing slight added value over 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?

Clearly states 'Primary travel search workflow for one origin-destination airport pair' and distinguishes from siblings by naming compare_routes for multiple routes, build_booking_link for known routes, and get_airport_info for validation.

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

Usage Guidelines5/5

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

Explicitly tells when to use this tool ('when the user wants flight/trip options for a specific route') and when to use alternatives, plus clarifies return_date optionality for one-way trips.

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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