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Australia/Adelaide clock

geo-hint

Latitude and longitude for a place 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

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description itself must disclose behavioral traits. It only names Open-Meteo as the data source, which implies an external network call, but it does not explain input expectations, output format, failure modes, rate limits, or which schema parameters are ignored or required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but it is under-specified rather than concisely informative. It is a noun phrase lacking both a clear operation and the minimal structural context needed to invoke the tool correctly.

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?

With no output schema and no annotations, this single-sentence description is far from complete. It does not state what the response looks like, how to supply the place, or what happens when the Open-Meteo lookup fails. The tool's actual invocation path is left ambiguous.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has high individual parameter descriptions, but the tool description does not clarify which parameter corresponds to the 'place' for geocoding. The schema includes seven unrelated-looking fields, and nothing in the description maps the purpose to a specific parameter such as 'city', leaving an agent unable to confidently construct a valid call.

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 that the tool provides latitude and longitude for a place, sourced via Open-Meteo. This is specific enough to distinguish it from weather-hint (weather data) and timezone/utc-time. It lacks an explicit verb like 'returns' or 'gets', but the resource and scope are clear.

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 about when to use this tool versus alternatives such as weather-hint or timezone. There are no prerequisites, exclusions, or conditions stated. The usage context is only implied by the phrase 'for a place via Open-Meteo.'

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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