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get_weather_insights

Get detailed weather and climate insights for any destination, including seasonal patterns and typical conditions. Understand what to expect to plan your visit timing.

Instructions

Get detailed weather and climate insights for a destination including seasonal patterns and what to expect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
whenNoWhen you plan to visit
destinationYesDestination for weather info

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read-style operation ('get') but does not mention return format, data sources, potential limitations, or any side effects. For an unannotated tool, more details about what the agent should expect are needed.

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?

The description is efficient—a single sentence that front-loads the core function ('Get detailed weather and climate insights') before adding detail. No unnecessary words, though 'what to expect' is slightly vague but not wasteful.

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

Completeness3/5

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

For a simple two-parameter tool with full schema coverage and no output schema, the description conveys the basic purpose. However, it does not clarify how the 'when' parameter affects the results or what 'detailed insights' concretely include (e.g., temperature ranges, precipitation). These gaps leave some ambiguity for an agent deciding whether this tool fits the user's query.

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 both 'destination' and 'when' are already documented in the schema. The description adds no extra parameter meaning beyond what the schema provides, so the baseline of 3 is 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 clearly states the tool's purpose: 'Get detailed weather and climate insights for a destination' with specific mention of 'seasonal patterns and what to expect.' The verb 'get' combined with the weather resource makes it distinct from sibling tools like create_itinerary or get_itinerary, which serve clearly different functions.

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?

The description implies the tool is used when weather info for a destination is needed, but it does not explicitly state when to use it vs alternatives or provide exclusions. There is no mention of scenarios where another tool would be more appropriate, leaving the agent to infer the context.

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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