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chathome.lu — Luxembourg Real Estate

Get Commute Times

get_commute_times
Read-onlyIdempotent

Commute time estimates from a Luxembourg commune to a major employment hub (Luxembourg City, Kirchberg EU Quarter, or Belval) across four transport modes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesTransport mode
communeYesLuxembourg commune name or slug to get commute times from, e.g. 'esch-sur-alzette', 'differdange'
destinationYesCommute destination: lux-city (Luxembourg City centre), kirchberg (EU Quarter), or belval (Esch/Belval)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
staleYes
trustYes
sourceYes
communeYes
minutesYes
distanceKmYes
destinationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds scoping context but does not describe behavioral details such as data recency, availability limitations, or response characteristics; with annotations present, this is adequate but not exceptional.

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 a single efficient sentence with no filler. The key distinction (commute estimates from commune to employment hub) is front-loaded, and the extra destination/mode detail is compact and relevant.

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?

This is a low-complexity, read-only tool with a full input schema and an output schema present. The description, combined with annotations and structured schemas, gives an agent everything needed to select and invoke the tool correctly.

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 both enum parameters are documented in the schema. The description summarizes the modes and destinations but does not add meaning beyond the schema, so the baseline score of 3 applies.

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 names the exact resource ('commute time estimates'), the origin scope ('Luxembourg commune'), the destination types, and the four modes. It is specific enough that an agent can distinguish it from the real-estate sibling tools without opening the schema.

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 makes the intended context clear: use when commute estimates from a Luxembourg commune to a major hub are needed. None of the sibling tools cover commuting, so explicit alternatives or exclusions are not required, though no when-to-use language is stated.

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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