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Station Board: Arrivals

station_board_arrivals
Read-onlyIdempotent

Retrieve live arrivals for any German railway station using its EVA number. Shows real-time delays and disruption messages for all train categories.

Instructions

Get live arrivals for ANY railway station by its EVA number.

Mirror of station_board_departures for arriving trains (all categories, real-time delays, disruption messages). Get the EVA from get_city_resource(slug, resource='stations'). Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
evaYesStation EVA number (digits only) from get_city_resource(slug, resource='stations'), e.g. '8000105' (Frankfurt Hbf).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metaYes
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds behavioral details: 'live arrivals', 'all categories, real-time delays, disruption messages', which goes beyond annotations. No 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?

The description is three sentences with no extraneous words. The main purpose is front-loaded, and every sentence adds value.

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 (one parameter, output schema present, annotations covering safety), the description provides all necessary context: purpose, input source, read-only nature, and differentiation from departures.

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%. The description adds meaning by specifying the EVA number must be 'digits only' and provides an example, as well as referencing the helper function to obtain it.

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 'Get live arrivals for ANY railway station by its EVA number', specifying the verb, resource, and scope. It distinguishes itself from the sibling 'station_board_departures' by noting it is a mirror for arrivals.

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?

The description tells when to use the tool (to get arrivals) and provides guidance on obtaining the EVA number via 'get_city_resource'. It implicitly contrasts with departures, but lacks explicit 'when not to use' statements.

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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