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Faceabot Transit Norway (Vy, Entur)

Find a Norwegian station or stop

no_find_station
Read-onlyIdempotent

Finds Norwegian stations and stops matching a word, with their ids. Use when: a place name is ambiguous or misspelled. Example: {"query":"Bergen"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesPart of the station or stop name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety/lifecycle profile is fully covered by structured data. The description adds only that results carry ids, which is mild output context; it says nothing about matching semantics (prefix vs. substring) or result limits.

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?

Three short, front-loaded lines: purpose, trigger condition, example. Every element earns its place with no filler.

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

Completeness4/5

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

For a single-parameter lookup with no output schema and rich annotations, the description covers what the tool does, when to call it, and that ids come back. Only the exact matching semantics are left implicit.

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 there is only one parameter, so the schema already documents `query`. The description's "matching a word" and the example add a small amount of intuition about matching behavior, but the baseline of 3 applies 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?

States a specific verb ("Finds") and resource ("Norwegian stations and stops"), plus the key output ("with their ids"). It doesn't name siblings, but the siblings (departures, connections) are functionally unrelated lookups, so disambiguation is not really needed.

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?

Explicitly gives the trigger condition — "Use when: a place name is ambiguous or misspelled" — and reinforces it with a concrete example query. No when-not guidance or named alternative is given, but for a lookup helper that is a minor gap.

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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