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EM Snow

Where is it snowing

where_is_it_snowing
Read-onlyIdempotent

Rank the freshest recently reported snow from the cached EM Snow home-page ranking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
hemisphereNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare the safe-read profile (readOnlyHint, idempotentHint, non-destructive, closed-world), so the bar is lower. The description does add useful context that results come from a cached home-page ranking, implying a limited, possibly stale curated set rather than a live full inventory. It stops short of saying how fresh the cache is or how many entries it yields.

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?

A single front-loaded sentence with no filler; the core action and source come first. It is arguably too terse given the undocumented parameters, but nothing is wasted.

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?

With no output schema and 0% parameter coverage, the description carries the full burden, yet it says nothing about the shape of the ranked results (resort name, snow total, report date) or about the two inputs. An agent can guess the intent but not what it will receive or how to scope the call.

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 0%, so the schema supplies names and constraints only, and the description compensates for none of it. Neither 'limit' (default 10, max 20) nor 'hemisphere' (nh/sh enum) is mentioned, and the effect of hemisphere on ranking is left entirely unexplained.

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?

Clear verb ("Rank") and resource ("freshest recently reported snow"), with the data source named ("EM Snow home-page ranking"). It is distinguishable from siblings like get_snow_reports by being a global ranking rather than a resort-scoped report, though the description never explicitly contrasts them.

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 when-to-use guidance, no mention of prerequisites, and no alternative named among the many snow-related siblings (get_snow_reports, get_conditions, snow_reliability). The agent must infer that this is a discovery/ranking tool from the purpose statement alone.

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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