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Sentence count, text discarded

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

C2.3/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It reveals only that Open-Meteo is used, implying an external network call, but it does not disclose whether the operation is read-only, any rate limits, error behaviors, or that many parameters are discarded (though the schema hints at discarding for some fields). This is minimal disclosure for a tool with no annotation 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words, and the core purpose is front-loaded. However, it is too brief to convey essential information such as which parameter to use, making the conciseness a deficiency rather than a virtue.

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?

For a tool with 9 parameters, no required fields, and no output schema, the description is grossly incomplete. It does not specify the expected input, the return format (e.g., JSON with lat/long), error handling, or how to differentiate from sibling tools. An agent would be unable to call this correctly without opening the schema and guessing which parameter is relevant.

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 coverage is 100%, so each parameter has a description, but the tool description itself does not clarify which parameter is the place identifier. The schema descriptions are generic and some are marked as 'discarded after the check', making it unclear how to request coordinates. The description adds no value over the schema in connecting parameters to the core purpose.

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 states a specific verb and resource: it returns latitude and longitude for a place via Open-Meteo. This distinguishes it from siblings like weather-hint (weather data) or timezone (timezone). However, it is ambiguous which of the 9 parameters identifies the place, as the description does not specify the input that maps to the location.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of preferred scenarios, exclusions, or comparisons with sibling tools such as weather-hint or timezone. An agent would not know to use this instead of another tool for a given task.

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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