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HawaiiGuide

HawaiiGuide verdicts on major attractions

get_decision_briefs
Read-onlyIdempotent

Editor-reviewed decision briefs for a small set of major Hawaii attractions: a verdict, who it suits, when to choose something else, key planning facts, official sources and the fact-check date.

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_decision_briefs"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum records to return.
queryNoOptional attraction name or keyword.
islandNoOptional island filter: oahu, maui, big-island, kauai, molokai or lanai.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety profile is covered. The description adds real value beyond that by disclosing the shape and nature of the returned content, including that entries are editor-reviewed and carry a fact-check date and official sources. It does not state whether the 'small set' is fixed or how results are ordered when limit truncates them.

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 sentence with no filler, front-loading the scope ('small set of major Hawaii attractions') before the content list. The trailing colon list is dense but each item earns its place by telling the agent what fields to expect.

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, the description usefully characterizes the return payload, and it discloses the limited coverage of the dataset. All three parameters are optional and self-documented in the schema. Minor gaps remain around pagination/ordering and whether non-major attractions are ever returned.

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%, so limit, query and island are already fully documented in the schema, including the island value list. The description adds no extra semantics such as how query matching works or whether island filtering is exact. Baseline 3 applies.

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 the resource precisely: editor-reviewed decision briefs for a small set of major Hawaii attractions, and enumerates what each brief contains (verdict, suitability, alternatives, planning facts, sources, fact-check date). An agent knows exactly what it gets, though the retrieval verb is only implicit in the name and no sibling is named for contrast.

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?

There is no explicit when-to-use or when-not guidance and no named alternative among siblings such as get_visitor_alerts or find_planning_tools. The phrase 'a small set of major attractions' does imply a coverage boundary, which is useful for deciding whether to query at all, but usage is left largely inferred.

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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