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Europe/Samara 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?

No annotations are provided, so the description must disclose behavior. It only states the output (current temperature) and the data source (Open-Meteo). It does not mention that many parameters are 'discarded after the shape check' (as hinted in the schema), that it may make network calls, have rate limits, or return different shapes depending on input. This is a significant transparency gap for a tool with 9 parameters.

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 sentence, extremely concise, but it is under-specified rather than efficiently concise. It omits critical information about the tool's multi-purpose nature and usage. The one sentence does not earn its place because it leaves out essential details an agent needs to select and invoke the tool correctly.

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's complexity (9 parameters, no output schema, no annotations), the description is completely inadequate. It only covers the weather use case, ignoring the other input types, and provides no information about return values, error handling, or operational behavior. An agent would be unable to understand the full scope of the tool and would likely misuse it.

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 adds no extra parameter meaning beyond mentioning 'city' for weather. It does not explain the purpose of the other 8 parameters or how they relate to the tool's behavior, but since the schema already documents them individually, the description does not need to repeat them. It adds minimal value over the schema.

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 verb+resource (current temperature for a city via Open-Meteo), which is clear for the weather use case. However, the input schema exposes 9 unrelated parameters (ref, url, feed, json, path, etc.), suggesting the tool handles multiple shapes, yet the description only mentions city. This makes it ambiguous whether the tool is exclusively for weather or a general-purpose checker, and it does not distinguish it from sibling hint tools like geo-hint or lib-docs-hint.

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 provided on when to use this tool versus alternatives. It does not mention any preconditions, when not to use it, or how it compares to other sibling tools. The agent is left to infer that it might be useful for weather queries only, but the schema suggests broader applicability, creating confusion.

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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