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Pradumnasaraf

Aviationstack MCP Server

future_flights_arrival_departure_schedule

Retrieve scheduled flight arrivals and departures for airports using IATA codes, airline identifiers, and date parameters to plan travel and monitor flight operations.

Instructions

MCP tool to get flight future arrival and departure schedule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
airport_iata_codeYes
schedule_typeYes
airline_iataYes
dateYes
number_of_flightsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool does ('get flight future arrival and departure schedule') without revealing any behavioral traits such as whether it's read-only, has rate limits, requires authentication, returns paginated results, or handles errors. This is inadequate for a tool with 5 required parameters and no annotation coverage.

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

Conciseness4/5

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

The description is a single, efficient sentence that gets straight to the point without unnecessary words. It's appropriately sized for a basic tool description, though it could be more informative. There's no wasted verbiage, making it easy to parse quickly.

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

Completeness2/5

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

Given the complexity (5 required parameters, no annotations, but with an output schema), the description is incomplete. It doesn't compensate for the lack of parameter documentation or behavioral context. While the output schema might cover return values, the description fails to address critical aspects like parameter usage, tool behavior, and differentiation from siblings, making it insufficient for effective agent use.

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

Parameters2/5

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

Schema description coverage is 0%, meaning none of the 5 parameters have descriptions in the schema. The tool description adds no parameter semantics—it doesn't explain what 'airport_iata_code', 'schedule_type', 'airline_iata', 'date', or 'number_of_flights' mean, their expected formats, or how they interact. This leaves parameters largely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'gets flight future arrival and departure schedule,' which is a clear verb+resource combination. However, it doesn't distinguish this tool from its sibling 'flight_arrival_departure_schedule' (which appears similar), nor does it specify what 'future' means relative to current schedules. The purpose is understandable but lacks differentiation from alternatives.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus its siblings. It doesn't mention alternatives like 'flight_arrival_departure_schedule' or explain why one would choose this tool over others for flight schedule queries. There's no context about prerequisites, timing, or specific use cases.

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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