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Asia/Kuala_Lumpur 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?

With all annotations null, the description must carry the full behavioral burden. It only hints at an external network call via Open-Meteo, but says nothing about whether the operation is read-only, has side effects, or what happens on failure. The schema note that city is 'discarded after the call' is buried and not reflected in the description.

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, direct sentence with no fluff. It is appropriately concise, but the conciseness costs essential usage and parameter information that could have been added without making it verbose.

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, so the description must supply both input and output expectations. It provides the output (latitude/longitude) but not how to specify the place, and it doesn't clarify why the schema lists many unrelated fields. An agent cannot confidently construct a valid call from this definition alone.

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 description mentions 'a place' but never maps that to an actual input property. The schema only complicates matters: the city field is described as a 'public weather hint', which does not match the geo-coordinate purpose. High schema coverage cannot compensate because the field semantics appear misaligned with this tool.

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 identifies the tool's function: returning latitude and longitude for a place via Open-Meteo. It has a specific verb and resource, and is distinct from siblings like weather-hint and timezone. It loses the top mark because it does not explicitly distinguish itself from any named alternative.

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 on when to use this tool versus alternatives, nor any mention of preconditions or exclusions. The single sentence states what it does, but not when or why an agent should select it over other hint 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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