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Airline Starlink Tracker

List Starlink aircraft

list_starlink_aircraft
Read-onlyIdempotent

Use when the user asks about the planes themselves — "which tail numbers have Starlink?", "which aircraft types are equipped?". Returns tracked airlines tail numbers, aircraft types, operators, and install dates (default 50 most recent; pass limit up to 500). Not for finding flights — use search_starlink_flights for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fleetNoFilter to only express (regional) or mainline aircraft.
limitNoMaximum number of aircraft to return (default 50).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the bar is lower. The description adds useful behavioral detail: returns the 50 most recent by default, allows a limit up to 500, and specifies the exact fields returned (tail numbers, aircraft types, operators, install dates). This goes beyond the annotations without contradicting them.

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 sentences with zero filler. The use-case is front-loaded, the exclusion is explicit, and the return details are compact. Every sentence earns its place.

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 the tool's simplicity, the rich annotations, and the absence of an output schema, the description covers everything needed to call it correctly: what it returns, the default/max limit, and the clear alternative for flight queries. Nothing essential is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters are fully documented in the schema. The description only reiterates the default and max limit, adding no new semantic nuance beyond the schema. Baseline 3 is appropriate.

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 states a specific verb (list) and resource (aircraft with Starlink), and explicitly differentiates itself from search_starlink_flights. It gives concrete example user queries and lists the returned fields, making the tool's purpose unambiguous.

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?

It clearly states when to use the tool ('when the user asks about the planes themselves') and provides an explicit exclusion and alternative ('Not for finding flights — use search_starlink_flights for that'). This leaves no ambiguity about routing.

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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