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ISO country LV

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

C2.6/5.0
Behavior2/5

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

There are no annotations, so the description carries the full behavioral burden. It only reveals that Open-Meteo is the backend, but says nothing about side effects, network dependencies, error behavior, return format, or the fact that most input parameters are ignored/discarded. This is a significant gap for a tool with no annotation-based safety profile.

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 or redundancy. It is concise, but it is concise at the expense of important operational detail, which limits how much credit this dimension can receive.

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?

This definition is severely incomplete given the context: 9 optional parameters, no output schema, no annotations, and a crowded sibling landscape. The description does not identify the input parameter to use, the expected return value, or any constraints. An agent is unlikely to call this tool correctly based solely on the provided information.

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 description coverage is 100%, giving a baseline of 3, but the tool description adds no parameter-level meaning. It does not map 'a place' to the 'city' parameter, and the schema itself is confusing because the 'city' description mentions 'a public weather hint' rather than geocoding. With 9 optional string parameters and no required fields, the agent cannot confidently determine which input to populate.

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 indicates the core result: latitude and longitude for a place, via Open-Meteo. It does not use a verb like 'get' or 'return', and it does not explicitly distinguish itself from weather-hint or other geo-related siblings, but the purpose is recognizable and specific enough.

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?

No usage guidance is provided. The description does not state when to use geo-hint versus weather-hint, timezone, or other sibling tools, nor does it mention prerequisites or exclusions. The only implicit context is 'for a place', which is not sufficient.

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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