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Cyreslab-AI

flightradar24-mcp-server

get_flights_in_zone

Read-only

Find currently airborne flights inside any geographic bounding box by specifying north, south, west, and east coordinates. Returns live flight data with optional detail level and result limit.

Instructions

Get all currently airborne flights within a specified geographic bounding box.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eastYesEastern longitude bound
westYesWestern longitude bound
limitNoMaximum number of results to return (default: 50, max: 30000).
northYesNorthern latitude bound
southYesSouthern latitude bound
detail_levelNoAmount of detail to return. "full" (default) includes route, registration, and aircraft type; "light" returns only position data and costs fewer FR24 API credits.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
zoneYes
countYes
flightsYes
messageNo
timestampYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety profile. The description adds useful scope ('currently airborne', 'bounding box') but does not mention the optional limit's default/max or the credit-cost difference between detail levels; those details are left to the schema, so this is a minor gap rather than a contradiction.

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?

One short sentence that front-loads the action and object while capturing the essential scope. There is no filler, redundancy, or unnecessary elaboration.

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?

With a rich output schema, fully described parameters, and readOnly/openWorld annotations, the description is complete enough for an agent to invoke the tool correctly. The main omissions—explicit sibling differentiation and the default limit behavior—are minor because the schema already captures the limit and detail-level semantics.

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%, and every parameter, including limit and detail_level, has a clear description. The free-text description only restates the bounding-box concept and adds no parameter meaning beyond what the schema already provides, so the baseline of 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 action ('Get') on a specific resource ('currently airborne flights') with a precise geographic scope ('bounding box'). This clearly distinguishes it from sibling tools like get_flight_tracks or get_flight_data, which target different data shapes.

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

Usage Guidelines3/5

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

The description implies the use case: querying live flights within a geographic area. However, it does not explicitly say when to prefer this tool over siblings like search_flights or get_flight_data, nor does it provide exclusions or alternative routing guidance.

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