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lzinga

US Government Open Data MCP

bts_transport_stats

Read-only

Retrieve monthly national transportation statistics including airline traffic, transit ridership, rail freight, fuel prices, and safety fatalities. Data covers 50+ indicators from 1947 to present.

Instructions

Get Monthly Transportation Statistics — 50+ national indicators including: • Airline passenger traffic and on-time performance % • Transit ridership, highway vehicle miles • Rail freight, Amtrak ridership and on-time % • Truck tonnage, fuel prices, vehicle sales • Transportation Services Index (freight, passenger, combined) • Border crossing summaries (trucks, persons) • Safety fatalities (air, rail) Monthly data going back to 1947 for some series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNoStart date: '2020-01-01'
end_dateNoEnd date: '2024-12-31'
limitNoMonths of data (default 24 = 2 years)
Behavior3/5

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

Annotations already declare readOnlyHint=true. The description adds value by detailing the data scope (monthly, historical since 1947) and categories. However, it does not disclose return format, pagination, or any potential restrictions beyond the annotation.

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 front-loaded and uses bullet points for clarity. It is slightly verbose with the long list but remains well-structured and easy to scan.

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

Completeness3/5

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

Given the absence of an output schema, the description should explain return values. It provides comprehensive context on available data but omits details on response format or structure.

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 coverage is 100%. The description adds context about monthly data and historical depth but does not significantly enhance parameter meaning beyond the schema's own descriptions.

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 clearly states the tool provides monthly transportation statistics with a specific verb 'Get' and lists 50+ national indicators across various categories, distinguishing it from sibling tools like bts_border_crossings.

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 does not provide explicit when-to-use or alternatives guidance. It implies usage for broad transportation data but lacks direction on when to use this over other BTS tools or similar datasets.

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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