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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

C2.9/5.0
Behavior2/5

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

Since there is no annotation, the description carries the full behavioral burden. It reveals the external source ('Open-Meteo') but does not disclose whether this is read-only, whether it makes a network call, what gets returned, or that the other eight schema parameters are discard after the check. The agent is left guessing about the interaction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is as lean as possible: a single sentence in subject-verb-object order. There is no distracted filler; the sentence is front-load and gains utility.

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?

For a tool with 9 parameters, 0 required, no output schema, and no annotations, this description is incomplete. It does not indicate which parameter is required, does not explain the return data (temperature units, error behavior), and does not hint at why all the other discarded parameters exist.

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?

With 100% schema description coverage, the baseline is 3 even though the description adds little parameter-level meaning. The description does reinforce that the city is the input, but it does not clarify that the other eight parameters are likely unused or how the city parameter maps to temperature.

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 operation and resource ('Current temperature for a city via Open-Meteo'), and it is likely enough to distinguish weather-hint from sibling tools such as timezone or geo-hint. It does not explicitly name or contrast alternatives, and the schema's nine unrelated parameters make the intended focus less certain.

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 tells you what the tool does but gives no guidance on when to choose it over alternatives or when not to use it. No prerequisite, season, or format information is provided.

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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