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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?

No annotations are present, so the description must carry the full behavioral burden. It names Open-Meteo as a third-party source, which implies a read-only network call, but it does not disclose side effects, idempotence, rate limiting, potentially limited availability, or the fact that the multiple non-city parameters are discarded. The schema per-parameter 'discarded' notes help but the tool-level description remains under-explanatory.

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, waste-free sentence with the core term 'current temperature' front-loaded. It is concise and easy to parse. However, it is truncated to the point of under-specification, sacrificing completeness for brevity.

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?

Given nine parameters, no output schema, and no general annotations, the description is not nearly complete. It does not explain what the tool returns (just 'temperature' first), what units are used, what happens on an unknown city, or whether the other parameters can be ignored. An agent can identify the intended use, but cannot confidently predict the result without extra prior knowledge of Open-Meteo.

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?

The input schema covers 100% of parameters with descriptions, so the baseline is 3. The tool description adds no extra parameter semantics: it does not specify units (Celsius/Fahrenheit), city matching behavior, or interaction among the nine parameters. It relies entirely on the schema.

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 names a specific action and resource: get the current temperature for a city via Open-Meteo. It distinguishes the tool from siblings like timezone or utc-time. However, the description says nothing about the eight other parameters in the schema, so the scope is narrower than the input schema implies, creating some ambiguity about what this tool actually handles.

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 explicit guidance about when to use this tool versus siblings such as geo-hint or fetch-status. There is no mention of conditions like 'use when the user asks for current weather' or exclusions like 'do not use for forecasts.' The usage context is only subtly implied by the phrase 'current temperature.'

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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