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Europe/Prague clock

weather-hint

Current temperature for a city 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 must carry the behavioral burden, but it only states the output. It does not disclose that most parameters are discarded (as hinted in the schema descriptions), that a network call is made, that the city must be a known location, or what happens on failure. The discarding behavior is a significant trait not mentioned in the description.

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, but it is under-specified. It omits crucial details such as which parameter is used, output format, or error behavior. Conciseness without content does not earn a high score.

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 nine optional parameters, no annotations, and no output schema, the description is woefully incomplete. An agent cannot reliably call this tool: it does not know which parameter to provide, what the return value looks like, or whether other parameters are needed. This is a serious gap.

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 are 100% complete, but they are confusingly broad and often mention 'discarded' for parameters unrelated to weather. The description does not clarify that only 'city' is used, so the agent cannot determine which parameter actually drives the call. The description adds no meaningful clarification beyond the schema, and the schema itself is misaligned with the stated 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 purpose: current temperature for a city via Open-Meteo. However, the input schema includes nine parameters, most of which are unrelated to weather (e.g., git ref, URL, JSON, path). This creates ambiguity about what the tool actually does, so the core purpose is clear but the schema muddies it. It does distinguish from siblings like geo-hint, but not sharply.

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 alternatives. It does not mention which parameter is relevant, whether it is only for weather queries, or when to prefer it over sibling tools. The agent is left to infer from the name and description.

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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