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Nano ID length, value 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

D1.5/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'via Open-Meteo,' which implies a network call but does not disclose rate limits, error behavior, whether it is read-only, or what happens when inputs are invalid. The description is silent on all behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

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

The description is a single short sentence, which is concise, but it is under-specified rather than appropriately concise. It omits essential information about inputs and behavior, so it does not earn its place as a useful tool description.

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?

Given the tool has 9 parameters, no output schema, and no annotations, the description is severely inadequate. It does not explain how the tool uses the parameters, what the return value looks like, or any constraints. An agent cannot reliably invoke this tool correctly based on the provided description.

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 schema descriptions cover all 9 parameters, so the baseline is 3, but the description does not add any meaning beyond the schema. Worse, it creates confusion: the description implies the tool only deals with geographic locations, yet the schema includes parameters like 'url', 'feed', and 'json' that are unrelated to geolocation. It fails to clarify which parameters are actually used for the stated purpose.

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

Purpose2/5

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

The description states a specific output (latitude and longitude) and a service (Open-Meteo), but it is vague about the input: the schema lists nine parameters, many of which (url, feed, json, path, zone, query) seem unrelated to geolocation. It does not clarify which parameters are relevant or how they map to the tool's purpose, and it does not differentiate it from the sibling 'weather-hint' which likely also uses a city name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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. No mention of when not to use it, no exclusions, no context about typical use cases. An agent is left to guess whether this is the right 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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