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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

D1.8/5.0
Behavior1/5

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

With no annotations, the description must carry the full behavioral burden. It does not disclose that the tool makes an external network call to Open-Meteo, what it returns (beyond lat/long), whether it is read-only, or that many parameters are discarded as described in the schema. The description also contradicts the schema descriptions for 'city' (which says 'for a public weather hint,' not geocoding). No behavioral details are provided.

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 one short sentence, which is concise but under-specifies. It lacks front-loaded critical details such as how to specify a place or what response format to expect. The brevity does not compensate for the missing guidance given the tool's complexity.

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 optional parameters and no output schema or annotations, this description is severely incomplete. It does not explain the diverse schemas, which parameters are required for geocoding, or what the output looks like. An agent would be unable to safely or correctly invoke this tool.

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 has 100% coverage, so each parameter has a terse description, but these descriptions are often inconsistent with the tool's stated purpose (e.g., 'json' is for validation, 'path' for file check, none relevant to lat/long). The overall description adds no explanation of which parameters are meaningful for geocoding or how they interact. An agent cannot determine which of the 9 optional parameters to provide.

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 output (latitude and longitude for a place via Open-Meteo), which gives a clear resource and verb. However, the input schema lists 9 diverse parameters (ref, url, json, path, etc.) that have no obvious connection to geocoding, so an agent cannot determine how to invoke the tool to actually get coordinates. The purpose is clear in isolation but not in the context of the schema.

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?

No guidance is provided on when to use this tool versus siblings like weather-hint or timezone. There is no mention of prerequisites, alternatives, or exclusions. The description gives no contextual hints about when geocoding is needed versus other operations.

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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