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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

D1.5/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says nothing about the 'discarded after the call' behavior seen in several schema parameter descriptions, nor does it mention that the tool appears to handle many input types. The only behavior described is temperature retrieval, which is insufficient for a tool with such a broad schema.

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, which is concise in length but severely under-specified. It is not front-loaded with the most critical information; it omits the tool's multi-purpose nature and the fact that most parameters are 'discarded'. This is under-specification, not effective conciseness.

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 parameters, no annotations, and no output schema, the description is grossly inadequate. It covers only the weather-hint scenario and leaves the agent to guess what the tool does with the other eight parameters. There is no guidance on return format, error cases, or prerequisites, making the tool essentially unusable from the 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 description coverage is 100%, so each parameter already has a description. The tool description adds only the mention of 'city', which is already in the schema. It fails to explain how to select among the nine parameters or which ones are relevant for a given use case, so it does not meaningfully augment the schema's information.

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 function—'Current temperature for a city via Open-Meteo'—which is a clear verb+resource. However, the schema exposes nine unrelated parameters (ref, url, json, path, query, etc.), implying the tool is a multi-purpose hint checker. The description only covers one case and does not clarify the broader purpose, making it misleading for an agent deciding whether to invoke it.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention any sibling tools (e.g., geo-hint, timezone, validate-json) or conditions that would select this tool over others. An agent has no contextual cues for choosing it.

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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