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Jet Cab AMS: Amsterdam & Schiphol chauffeur

List Jet Cab AMS services and prices

list_services
Read-onlyIdempotent

Fixed-fare Schiphol transfers (route ids, per-car prices), private tours (tour ids, durations, per-car prices), vehicles with passenger and luggage limits, and booking rules. No side effects.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_services"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so 'No side effects' is largely redundant. The real value is the breakdown of return contents (per-car prices, durations, passenger and luggage limits, booking rules) — meaningful behavioral context given there is no output schema.

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?

A single dense sentence that front-loads the four resource categories and closes with the safety note; nothing wasted. It reads as a sentence fragment without a leading verb, which is a small structural weakness.

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?

With no output schema and no parameters, the description carries the burden of explaining return values and does so across all four content groups. It stops short of describing result shape or ordering, but an agent has enough to call it and use the result.

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?

The tool takes zero parameters, so the baseline is 4. The description correctly implies the call is unfiltered — you get the whole service catalogue — with no parameter semantics needed.

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 enumerates exactly what the tool returns: Schiphol transfer routes with prices, private tours with durations, vehicles with capacity limits, and booking rules. An agent can tell this apart from the sibling booking/quote tools, though the verb ('list'/'retrieve') is only implicit in the noun-phrase enumeration.

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?

Usage is implied rather than stated: the mention of 'route ids' and 'tour ids' signals this is the discovery step whose IDs feed get_quote and request_booking, but no sentence says when to call it or names a sibling alternative. An agent must infer the sequencing.

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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