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ISO country PN

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

B3/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It hints at an external Open-Meteo call but does not state whether the call is read-only, what side effects or network dependencies exist, what happens with the input, or how failures are handled. This is a significant gap for a tool with no annotations.

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

Conciseness3/5

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

The description is a single, compact sentence with no filler, and the key idea is front-loaded. However, for a tool with nine optional parameters and no annotations, this brevity borders on under-specification; there is no additional structure to help the agent understand how to use it.

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?

With nine optional parameters, no required fields, no output schema, and no annotations, a one-line description is incomplete. The agent cannot determine which parameter to populate, what the returned coordinate format is, or how errors are surfaced. The description only conveys the general domain.

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 is 3. The description's 'place' presumably maps to a parameter like city, but it never says which of the nine optional parameters to supply. The schema's city description even refers to a 'weather hint' rather than geocoding, adding ambiguity that the description does not resolve.

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 the tool's output (latitude and longitude) and data source (Open-Meteo), making it clear this is a geocoding/coordinate lookup and distinguishing it from siblings like weather-hint and timezone. It lacks an explicit verb such as 'Get' or 'Returns', but the noun phrase is specific enough to convey the core purpose.

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?

Usage is only implied: if an agent needs coordinates for a place, geo-hint is the obvious choice. There is no explicit when-to-use guidance, no exclusions, and no mention of alternatives such as weather-hint for weather or timezone for timezone lookups.

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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