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Australia/Brisbane 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

C2.9/5.0
Behavior2/5

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

With no annotations present, the description bears the full burden of disclosing behavior, but it only mentions the external Open-Meteo source and the output concept. It does not mention read-only/non-mutating behavior, error conditions, approximate results, or the fact that the schema shows many inputs are discarded after checks.

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 words or repetition. It is concise, though concise to the point of leaving out important usage and parameter mapping guidance.

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 the large, mixed-purpose input schema and the absence of an output schema or annotations, this one-line description is not complete enough for reliable invocation. An agent cannot tell which parameter to pass, what the output shape is, or how failures behave.

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?

The input schema fully documents each property, so the schema-coverage baseline applies; the description itself adds little parameter meaning. The only connection it implies is that 'a place' likely maps to the city property, but it never says so explicitly, and most schema properties appear unrelated to geocoding.

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 clearly states the tool returns latitude and longitude for a place using Open-Meteo, which distinguishes it from siblings like weather-hint or timezone. However, it is phrased as a noun fragment rather than an explicit verb, and it does not name the input parameter that identifies the place.

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 gives no guidance on when to use geo-hint versus alternatives such as weather-hint or normalize-url. There are no conditions, exclusions, or references to sibling tools, so an agent must infer when this tool is appropriate.

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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