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Asia/Phnom_Penh 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

C2.7/5.0
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 only discloses the external service and nominal output; it does not state what the response looks like, whether a city name is required, how failures are handled, or that this is a geocoding lookup.

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 a single, front-loaded sentence with no filler, which is appropriately concise for a one-line purpose. It sacrifices a clause that could clarify the city input, but on pure conciseness it is strong.

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?

There is no output schema and no annotations, and the schema contains many unrelated parameters. The one-sentence description does not connect the 'place' to the 'city' property, does not describe the return value, and does not clarify how the Open-Meteo call is used, leaving an agent with only a guess at how to invoke it.

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?

Schema descriptions cover all properties, but the description adds no connection between 'a place' and the city parameter. The schema's city description says 'City name for a public weather hint', which seems copied from weather-hint and makes it ambiguous which parameter an agent should pass for geo-hint.

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 names the resource (latitude and longitude), the target (a place), and the service (Open-Meteo), so an agent can tell it apart from weather-hint or timezone. However, it is a noun phrase rather than an explicit action like 'Get coordinates', and it does not indicate how the place is supplied.

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?

The description implies 'use this when you need coordinates for a place', but it provides no explicit when/when-not guidance and names no alternatives. With several place-related siblings in the toolset, an agent gets little help deciding between geo-hint, weather-hint, timezone, and similar tools.

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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