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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

C2.9/5.0
Behavior2/5

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 does not mention that most of the 9 parameters are 'discarded after the check' (a fact visible only in the schema), nor does it disclose response format, error behavior, or rate limits for the Open-Meteo call. This is a significant gap for a tool with zero annotation coverage.

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 efficient sentence that delivers the core purpose with no filler. It loses one point only because it is so minimal that it omits the usage and behavioral context an agent would need, though brevity itself is appropriate.

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?

Given the tool's complexity — 9 parameters with no output schema — the description is inadequate. It never explains how 'latitude and longitude for a place' relates to parameters like ref, feed, host, or json, and does not state the expected return value. An agent cannot confidently call this tool correctly based on the description alone.

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 underlying parameter meanings are already documented and baseline is 3. The description adds nothing about how the parameters map to the latitude/longitude purpose — in fact, the schema parameters (ref, url, feed, json, path, zone, query) appear disconnected from a geocoding goal. The description neither compensates for the mismatch nor adds value beyond the schema.

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 states a specific outcome — latitude and longitude for a place — via a named service (Open-Meteo). This is a clear verb+resource statement. However, it doesn't differentiate from sibling tools like weather-hint, iana-zones, or timezone, which could all be candidates for location/time queries, so it loses a point on sibling distinction.

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 given on when to use this tool versus its alternatives, and there are no exclusions or context about which input scenarios it serves. The description simply states what it computes. An agent has no signal to route between geo-hint and geographically related siblings such as weather-hint or iana-zones.

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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