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Best time to visit

getBestTimeToVisit
Read-onlyIdempotent

Month-by-month average temperature and rainfall for a cruise port, region or destination, with the warmest and driest months. A place with very different sub-regions returns a list to choose from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
placeYesA port, region or destination, e.g. "Alaska"

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 readOnlyHint, idempotentHint, non-destructive, and a closed-world scope, so the safety profile is covered. The description adds real behavioral value beyond them: it warns that a place with very different sub-regions returns a list instead of a single answer, which changes how an agent must handle the response. It does not mention rate limits or data freshness, keeping it out of 5 territory.

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?

Two sentences, no filler. The core output content is front-loaded and the edge-case caveat follows it, so an agent gets the essential meaning first.

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 one parameter, full schema coverage, and a complete annotation set, the description covers what the tool returns and the one non-obvious response shape. It lacks any note on result limits or data recency, but nothing critical for correct invocation is missing.

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?

Schema coverage is 100% and the schema already defines 'place' with an example, so the baseline would be 3. The description goes further by classifying what counts as a place ('port, region or destination') and by explaining that ambiguous place names resolve to a list of candidates, which adds interpretive meaning for the one required parameter.

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 states exactly what the tool returns: month-by-month average temperature and rainfall for a cruise port, region, or destination, plus warmest/driest months. That is specific enough for an agent to separate it from data-oriented siblings like getPortGuide or searchCruises. It stops short of naming any sibling, so it does not earn 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 implied rather than stated: an agent can infer this is the tool for climate/seasonality questions, but there is no explicit 'use this when... instead of...' routing against getPortGuide or searchCruises. The note about sub-region lists is edge-case behavior, not guidance on when to choose this tool.

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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