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Europe/Copenhagen 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

D1.6/5.0
Behavior1/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only claims to return a temperature, without mentioning data freshness, rate limits, side effects, or the fact that many parameters are discarded. The schema notes several 'discarded' behaviors, but the description does not explain or acknowledge them.

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, which is efficient. However, it is under-specified for a tool with 9 parameters and multiple apparent use cases. The structure is fine, but the content is so narrow that it fails to convey the actual scope.

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 9 parameters, no output schema, and no annotations, this description is grossly inadequate. It does not explain the tool's actual behavior, how to use the various parameters, or what response to expect. An agent cannot correctly invoke this tool based on this description alone.

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?

Schema coverage is 100%, so the schema documents all parameters. However, the description only references the city parameter and is inconsistent with the other 8 parameters, adding confusion rather than meaning. It fails to connect the schema to the stated purpose, so it does not compensate for the tool's complexity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('current temperature for a city via Open-Meteo'), but the input schema includes 9 unrelated parameters (URL, JSON, path, zone, query, etc.), suggesting a much broader purpose. This mismatch makes the purpose unclear and misleading, and it does not differentiate from sibling hint tools like geo-hint or search-query-len.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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. The description does not mention which parameters are relevant, when to call it, or what conditions select it. An agent has no idea which of the 9 parameters to supply or when this tool is appropriate.

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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