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Australia/Darwin 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

B3.1/5.0
Behavior3/5

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

The description discloses the essential behavior: a lookup via Open-Meteo that returns coordinates, and the schema reinforces that inputs are discarded. However, there are no annotations and the description does not cover output format, approximate 'hint' behavior, or failure modes.

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 one concise sentence without filler, and it front-loads the purpose as well as the external service. It could be slightly more informative, but it does not waste words.

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 seven parameters, no output schema, and no annotations, the description is too sparse to fully guide an agent: it does not specify which parameter to populate, what the response looks like, or how this differs from related tools. The schema hints like 'discarded after the call' do some work, but the overall invocation contract remains implicit.

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 seven parameters have their own schema descriptions, so schema coverage is high and the baseline is three. The description adds no explicit mapping from 'a place' to the `city` parameter and leaves the other six parameters irrelevant, but the schema already provides per-parameter meaning.

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 says the tool provides latitude and longitude for a place and names Open-Meteo as the source, so the core purpose is clear. It is a noun phrase rather than an imperative, and it does not explicitly differentiate geo-hint from sibling tools like weather-hint.

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?

There is no guidance about when to use this tool versus alternatives such as weather-hint, nor any mention of prerequisites or fallbacks. The single sentence tells an agent what the tool does, but not when to invoke it.

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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