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Glama

Weather forecast

get_weather_forecast
Read-onlyIdempotent

Get a 14-day weather forecast for a campsite or location. Use this when the user asks about weather, temperature, rain, wind, or UV conditions at a campsite or destination.

You can provide EITHER:

  • campsite_name: The name (or partial name) of a campsite to look up its GPS coordinates automatically, OR

  • latitude + longitude: Direct coordinates if already known

Returns daily forecasts with max/min temperature, rain chance, precipitation amount, wind speed, UV index, and a weather description for each day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeNoLatitude of the location (e.g. -33.8688 for Sydney)
longitudeNoLongitude of the location (e.g. 151.2093 for Sydney)
campsite_nameNoName or partial name of a campsite to look up (e.g. 'Byron Bay', 'Big4 Morisset'). The tool will search Neo4j for the campsite and use its GPS coordinates.

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive. The description adds valuable behavioral context: automatic GPS lookup for campsite_name via Neo4j, and the return fields (max/min temp, rain chance, etc.). Does not contradict annotations, and adds beyond the structured metadata.

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?

The description is well-structured: purpose first, then input options, then return data. Every sentence adds value, no redundancy, and it is appropriately sized for the tool's complexity.

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?

Given 3 optional parameters and no output schema, the description fully covers what the tool does, when to use it, how to invoke it, and what it returns. It is complete for an agent to select and use correctly.

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 covers 100% with descriptions for each parameter. The description adds relational semantics: 'You can provide EITHER campsite_name OR latitude+longitude', clarifying the mutual exclusivity and how each mode works. This goes beyond the schema's individual parameter descriptions.

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 states a specific verb and resource: 'Get a 14-day weather forecast for a campsite or location.' It clearly describes the tool's function and the types of data returned. No sibling tool provides weather, so differentiation is implicit but the scope is well-defined.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use: 'Use this when the user asks about weather, temperature, rain, wind, or UV conditions at a campsite or destination.' It also provides guidance on the two input modes (campsite_name vs latitude/longitude), making it clear how to choose between them.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct operation: bk_* for Bookeasy booking workflows (add, checkout, guest, promo, search operators/content), get_* for retrieval, search_* for different domains (campsites, campervans, products), and find_nearest_toilets and recommend_gear for specific niche queries. No significant overlap.

Naming Consistency5/5

Naming follows a consistent pattern: bk_ prefix for Bookeasy tools, then verb_noun (e.g., bk_cart_add, bk_search_operators). Non-bk tools use get_ or search_ prefixes. All snake_case, predictable and clear.

Tool Count5/5

18 tools cover a broad scope (accommodation search, campervan rental, public toilets, weather, gear, products, and full booking lifecycle) without bloat. Each tool earns its place; the count is well-scoped for the domain.

Completeness4/5

The tool set covers most user needs: listing, searching, booking, weather, gear, product sales. Minor gaps (e.g., no tool for cancelling/viewing past bookings) but these are likely handled externally via the booking platform. The core workflows are well-supported.

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