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Ship rating metrics

get_ship_metrics
Read-onlyIdempotent

The axes a cruise ship is scored on, 1 to 5, with what a 5 means and each one's leaderboard page.

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": "get_ship_metrics"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world, non-destructive behavior, so the description's job is to add content context, and it does: it discloses that the payload is the set of scoring axes, the 1-5 scale, the definition of a top score, and per-axis leaderboard pages. It stops short of describing output shape or size, but with a full annotation safety profile that is a minor gap.

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?

A single sentence that front-loads the resource and then enumerates the three things returned. No filler, no restatement of the title, nothing that could be cut without losing information.

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 no-parameter, read-only reference endpoint with no output schema, the description conveys what the response contains and how it is organized (axes, scale, definition, per-axis link) well enough to call it correctly. A brief note on whether all axes are returned or how the result is keyed would close the remaining gap.

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 there is nothing for the description to disambiguate at the argument level. Baseline 4 applies; the description avoids inventing parameter-like language that would confuse the agent.

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 names the specific resource (a cruise ship's rating axes on a 1-5 scale) and what the response carries (the meaning of a 5 and a leaderboard link per axis). It is clearly a definitions/reference endpoint rather than a data-record fetch, which separates it from get_cruise_ship, top_cruise_ships, and the parallel get_airline_metrics/get_lounge_metrics tools. The retrieval verb itself is only implicit, which keeps it from a 5.

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 only implied: an agent can infer this is the tool for interpreting scores obtained elsewhere, but the description never says when to call it versus get_cruise_ship or top_cruise_ships. It also does not mention the other *_metrics siblings, so no explicit routing or exclusions are given.

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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