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halizz821

Environment Canada Weather Alerts MCP Server

by halizz821

get_alerts_near_coordinates

Retrieve active Environment Canada weather alerts by latitude and longitude. Enter coordinates to see nearby warnings, advisories, and alert status.

Instructions

Checks for weather alerts intersecting a specific latitude and longitude coordinate.

Args: latitude: Latitude in decimal degrees (e.g., 43.6532 for Toronto). longitude: Longitude in decimal degrees (e.g., -79.3832 for Toronto). language: Output language ('en' or 'fr'). Default is 'en'.

Returns: JSON string of alerts affecting the given coordinates. Each alert includes its 'status'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoen
latitudeYes
longitudeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. 'Checks for' implies a read-only query, and it notes that each returned alert includes its 'status' field, but there is no mention of rate limits, authentication, error behavior, or what happens for coordinates outside coverage. Adequate but sparse for a tool with zero annotation coverage.

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?

Front-loaded single-sentence purpose followed by clearly labeled Args and Returns sections. The Args block is slightly redundant with the schema shape but earns its place by adding units, examples, and enum values; nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value explanation is not required, yet the description still gives a useful summary of the returned payload. Parameter semantics are fully covered and the coordinate scope is unambiguous, leaving only routing guidance as a gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates well: it documents all three parameters, gives the unit ('decimal degrees') with concrete examples for latitude and longitude, and — importantly — supplies the enum values ('en' or 'fr') and default that the schema itself omits.

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 verb and resource ('Checks for weather alerts') plus a clear scope qualifier ('intersecting a specific latitude and longitude coordinate'). This distinguishes it from get_alert_summary and get_alert_details by implying a point query, though it never explicitly names or contrasts those siblings.

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?

Usage is only inferable from the coordinate-scoping phrase; there is no explicit statement of when to prefer this tool over get_weather_alerts or the other siblings. No prerequisites, exclusions, or alternative-selection guidance are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.