Skip to main content
Glama

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
Behavior1/5

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

There is no disclosure of behavioral traits. The description does not mention side effects, API rate limits, required permissions, or that it makes an external network call to Open-Meteo. It also fails to note that most schema parameters are discarded, which is a significant behavioral aspect.

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 a single, direct sentence with no fluff or redundancy. It efficiently conveys the core purpose without unnecessary detail.

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

Completeness1/5

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

Given the tool's complex schema with 9 optional parameters, the description is severely incomplete. It does not mention that only 'city' matters, that other parameters are accepted but discarded, or what the output looks like. This leaves substantial context missing for an agent to use the tool correctly without additional investigation.

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?

All 9 parameters have schema descriptions (100% coverage), each providing a name and a fate (e.g., 'discarded after the shape check'). However, these descriptions do not explain why unrelated parameters (ref, url, feed, host, json, path, zone, query) exist in a weather tool, and the tool description only references 'city', leaving ambiguity about the relevance of others. The schema coverage meets the baseline, but no extra clarity is added.

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 function: providing the current temperature for a city via Open-Meteo. It uses a specific verb ('get' implied) and names the resource (city, temperature). This distinguishes it from sibling tools focused on other domains like timezone or URL checks.

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 provided on when to use this tool versus alternatives. The description does not mention that only the 'city' parameter is relevant or that all other parameters are ignored, nor does it specify scenarios where this tool is appropriate over related tools.

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.