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jorekai

DB Timetable MCP Server

by jorekai

findStations

Search Deutsche Bahn train stations by name or station code to find matching locations in the timetable database.

Instructions

Durchsucht das Verzeichnis der Bahnhofsstationen anhand eines gegebenen Suchmusters. Dies kann der Name der Station oder die EVA-Nummer sein. Das Tool liefert eine Liste von Stationen, die dem Suchmuster entsprechen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
patternYesSuchmuster für Stationen (z.B. Frankfurt oder 8000105)
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 mentions the search functionality and return type (list of stations) but lacks details on permissions, rate limits, error handling, or whether it's a read-only operation. For a search tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 concise and well-structured in three sentences: it states the action, explains the parameter, and describes the output. Every sentence adds value without redundancy, making it efficient and front-loaded.

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 tool's moderate complexity (search with one parameter) and no annotations or output schema, the description is minimally adequate. It covers the basic purpose and parameter but lacks details on behavioral traits, usage context, and output format. It meets the minimum viable standard but has clear gaps.

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?

The schema description coverage is 100%, so the schema already fully documents the single parameter 'pattern'. The description adds minimal value by mentioning it can be a station name or EVA number, which is already implied in the schema's example. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the tool's purpose: searching a directory of railway stations using a search pattern (station name or EVA number) and returning a matching list. It specifies the resource (station directory) and verb (search), but doesn't explicitly differentiate from sibling tools like timetable or change queries, which serve different purposes.

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?

No guidance is provided on when to use this tool versus alternatives. The description explains what it does but doesn't mention when it's appropriate compared to sibling tools (getCurrentTimetable, getPlannedTimetable, getRecentChanges) or any other search methods. There's no context about prerequisites or exclusions.

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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