Skip to main content
Glama

Search Hawaii Tours

search_hawaii_tours
Read-onlyIdempotent

Search 2,400+ bookable Hawaii tours and activities by keyword, island, price range. Returns tours from Viator, GetYourGuide, Klook, and Groupon with booking links; filter by platform via source. Use this when users ask about Hawaii tours, activities, or things to do.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results (max 20)
queryYesWhat to search for, e.g. 'snorkeling', 'helicopter tour', 'luau', 'family activities'
islandNoWhich Hawaiian islandany
sourceNoFilter by booking platformany
max_price_dollarsNoMaximum price per person in USD

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark the operation as read-only, idempotent, and non-destructive. The description adds meaningful behavioral context beyond that: it aggregates inventory from Viator, GetYourGuide, Klook, and Groupon and returns booking links, plus a platform filter via source. No contradiction with annotations.

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 with no filler. The core action and data scope come first, followed by a precise usage trigger and a source-filter hint, so an agent can parse it quickly.

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

Completeness5/5

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

For a read-only search tool with full schema descriptions and clear enums, the description is complete: it states what is searched, what is returned, and when to use it. No output schema exists, but the description's 'returns tours from... with booking links' gives enough situational context for invocation.

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 documentation covers 100% of parameters with clear descriptions and enums, so the schema carries the semantic load. The description reinforces keyword/island/price/platform concepts but does not add substantive meaning beyond the schema, making the baseline 3 appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Search 1,500+ bookable Hawaii tours and activities', which immediately identifies the tool's scope. It also lists the aggregators and differentiates from sibling tools by focusing on tours/activities rather than restaurants, events, deals, or weather.

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?

It gives an explicit use condition: 'Use this when users ask about Hawaii tours, activities, or things to do.' It does not name sibling alternatives or state when not to use it, so it stops short of a full when/when-not comparison.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation4/5

Most tools target clearly distinct resources: restaurants, weather, events, and itineraries are unambiguous. However, get_hawaii_deals and search_hawaii_tours both cover tours/activities, and plan_hawaii_day overlaps with restaurant and tour tools, creating some potential for misselection.

Naming Consistency5/5

All tool names follow a consistent verb_hawaii_object pattern (find_, get_, plan_, search_) using snake_case. The verbs are semantically appropriate and the pattern is predictable across the entire set.

Tool Count5/5

With 6 tools, the set is well-scoped for a Hawaii travel assistant. Each tool addresses a distinct travel need without unnecessary sprawl, and the count sits comfortably within the ideal 3-15 range.

Completeness4/5

The surface covers food, tours, events, weather, deals, and day planning, which covers most visitor needs. Minor gaps exist—like lodging, transportation, or general attraction info—but agents can reasonably handle common Hawaii travel queries with this set.