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Sentence count, text discarded

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

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'via Open-Meteo', implying an external API call, but does not disclose what happens with the other eight parameters (which are seemingly irrelevant), whether there are rate limits, caching, or what the return format is. The description fails to explain that only 'city' is used and that the rest are discarded, which is a significant transparency gap.

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, efficient sentence that conveys the core purpose without fluff. It is front-loaded with the action and resource. However, its brevity sacrifices essential details that an agent needs, so while concise, it is under-specified.

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 and no output schema, the description is far from complete. It does not specify that only 'city' is relevant, does not describe the expected input format, does not mention any response structure, and does not address the presence of unrelated parameters. An agent cannot confidently call this tool based solely on the description and schema.

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%, but the descriptions for most parameters (ref, url, feed, etc.) are clearly intended for other tools and are irrelevant to weather. The description does not clarify that only 'city' is needed, nor does it add any meaning beyond the schema's own per-parameter descriptions. An agent might be misled into thinking other parameters are relevant, so the description does not compensate for the schema's off-topic content.

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 clearly states a specific action (getting current temperature) and a resource (a city), naming the external provider (Open-Meteo). This distinguishes it from weather-unrelated siblings like geo-hint or timezone. However, the input schema contains 9 parameters, many with descriptions unrelated to weather (e.g., ref, url, feed), which could confuse an agent about the tool's actual scope. The description does not acknowledge this mismatch, slightly undermining its clarity.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any conditions, exclusions, or compare it to siblings such as geo-hint or timezone. An agent receives no help in deciding between weather-hint and other hint tools.

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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