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ISO country NG

weather-hint

Current temperature for a city via Open-Meteo.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full disclosure burden, and it only hints at an external API dependency via 'Open-Meteo'. It omits that eight of nine schema parameters are specified as 'discarded', how failures (unknown city, no network) surface, and what the returned temperature value looks like.

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 eight-word sentence that front-loads the purpose and names the data source with zero filler. It is appropriately compact, though slightly under-specified for a nine-parameter tool, a gap captured under contextual completeness.

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

Completeness2/5

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

Given nine optional parameters, no annotations, and no output schema, one sentence is far from sufficient. An agent cannot determine which parameter to supply in practice, what the call returns, or what error behavior to expect for an invalid city.

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 the baseline applies — the schema already documents all nine parameters and their discard behavior. The description adds mild value by signaling that `city` is the operative parameter for the temperature result, but it doesn't compensate further.

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 a specific function — returning the current temperature for a city — and identifies the data source (Open-Meteo), which distinguishes it from siblings like geo-hint, timezone, and utc-time. However, it is phrased as a noun phrase rather than an explicit action verb ('Retrieves...'), and it doesn't describe the response shape, so it stops short of 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 Guidelines2/5

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

No guidance is given on when to invoke this tool versus siblings such as geo-hint, web-fetch, fetch-status, or timezone, and no alternatives or exclusions are named. An agent must infer from the name alone that weather lookups are the intended use.

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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