Skip to main content
Glama

Request a charter trip

request_trip

Sends a charter trip request for one aircraft to the booking contact its owner named. Call it only after the person you are helping has asked to proceed, with their own name and email. Nothing is booked or held: the requester is emailed a link, the request is delivered only once they confirm it, and the booking contact then replies to them directly. If the owner set qualification questions, the first call answers needs_answers with the questions; ask the person each one and call again with their answers in the same order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesArrival airport identifier, ICAO or FAA, for example KMIA.
dateYesDeparture date, YYYY-MM-DD, today or later.
fromYesDeparture airport identifier, ICAO or FAA, for example KTEB.
nameYesThe full name of the person asking, as they gave it.
tailYesA U.S. registration mark such as N864BF. Case and hyphens are ignored.
emailYesThe email address of the person asking. The confirmation link is sent here.
notesNoAnything else the person wants the booking contact to know.
phoneNoTheir phone number, if they want to be called.
answersNoAnswers to the owner's qualification questions, in the order request_trip returned them.
passengersYesNumber of passengers.
return_dateNoReturn date for a round trip, YYYY-MM-DD. Omit for one way.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Goes well beyond the annotations (readOnlyHint=false, destructiveHint=false, openWorldHint=true) by disclosing the full side-effect chain: nothing is booked or held, the requester is emailed a confirmation link, the request is only delivered after they confirm, and the booking contact replies directly. It also documents the two-call qualification-question protocol, which an agent could not infer from structured fields.

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?

Front-loaded with what the tool does, then the precondition, then the behavioral chain, then the exception flow. Every sentence carries distinct operational information with no filler.

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?

With no output schema and 11 parameters, the description supplies exactly what structured data cannot: the gating precondition, the non-committal behavior of the request, and the needs_answers two-step flow. An agent has everything needed to call it correctly.

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%, so the baseline is 3; the description earns an extra point by explaining the semantics of `answers` (must be supplied in the order returned by the first call) and by tying `name`/`email` to the identity of the person being helped, both of which the schema only hints at.

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?

States a precise verb and resource: "Sends a charter trip request for one aircraft to the booking contact its owner named." The recipient and the non-binding nature of the request clearly separate it from siblings like check_availability, estimate_charter, and send_buyer_inquiry.

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?

Gives an explicit precondition — call only after the person has asked to proceed, with their own name and email — plus the conditional branch for qualification questions (first call returns needs_answers, then call again). It does not explicitly name which sibling to use instead when the user is still exploring, so it stops short of full alternative routing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources