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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

C2.5/5.0
Behavior2/5

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

No annotations are present, so the description must carry the behavioral burden. It does not disclose external network calls, response format, side effects, or limits; 'via Open-Meteo' merely hints at an external dependency without explaining behavior or outcomes.

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 text is a single line with no filler and the result is front-loaded. It is efficiently short, though the brevity hides the significant gaps in invocation and behavior rather than adding useful completion.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A 9-parameter tool with no required parameters, no annotations, and no output schema requires a much clearer rationale. The description does not say which parameter to populate, how to get coordinates, what response shape it returns, or how to disambiguate among the unrelated-looking fields. This is essentially a guess for an AI agent.

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 parameter descriptions are present but oddly generic and do not map a specific parameter to the 'place' needed by this tool. The description itself adds no parameter-level meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says the output is latitude and longitude for a place, using Open-Meteo, which distinguishes it from weather or timezone siblings. However, it states no verb, and it does not identify which of the nine optional parameters is the 'place', leaving the actual invocation ambiguous.

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 when/when-not guidance and no alternative compared. The phrase 'for a place' only implies a geocoding use case, but it does not say when to choose this over weather-hint, timezone, or other hint tools, nor what conditions make geo-hint 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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