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YAML validity, body 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

C2.6/5.0
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 mentions the external service Open-Meteo, giving some context, but does not disclose network call implications, error handling, rate limits, or what params are actually used. It also does not clarify the meaning of 'discarded' in the schema, leaving behavioral expectations vague.

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 concise sentence that front-loads the core function. It is efficient with no extraneous words; the lack of detail is more about completeness than readability. As a concise sentence, it succeeds, so a slightly above-the-median score 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?

With 9 optional parameters, no output schema, and no annotations, the description is too thin to guide correct invocation. It does not identify the required or primary parameter (e.g., city), explain the return format, or note possible failure cases. The tool's behavior is insufficiently specified for an agent to use confidently.

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 baseline is 3. The description itself adds no parameter-level insight, such as which of the 9 optional parameters corresponds to 'a place.' While the schema describes each parameter, it does not explain how to select among them for this tool. Still, the schema fully documents parameters, so the baseline applies.

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 the tool returns latitude and longitude for a place via Open-Meteo, which is a clear verb and resource. However, it does not specify which input parameter identifies the place, and the schema lists nine optional parameters without distinction. This leaves ambiguity about how the tool should be invoked, especially among siblings like weather-hint and timezone.

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?

The description provides no usage guidance or comparison with alternatives. It does not state when to use this tool versus weather-hint, timezone, or other location-related tools, nor does it exclude any scenarios. The agent is left to infer the appropriate invocation conditions from the schema alone.

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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