Skip to main content
Glama

Active Alerts

active_alerts
Read-onlyIdempotent

Active Environment Canada weather alerts (warnings, watches, statements) across Canada, optionally filtered near a point. Returns alert name, type, risk colour, affected area, province, effective/expiry times and a text excerpt. Example: latitude 43.65, longitude -79.38 for Toronto-area alerts. Keyless, official ECCC data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax alerts to return (default 10, max 30).
latitudeNoOptional latitude — if both latitude and longitude are given, alerts are filtered to a ±2° box around the point.
longitudeNoOptional longitude (used with latitude).

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint, idempotentHint, and non-destructive nature. The description adds that it is keyless and uses official ECCC data, providing context beyond annotations. It does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three sentences, efficiently front-loading the core purpose, then detailing return fields, and providing a concrete example. No unnecessary words or repetition.

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

Completeness4/5

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

Despite no output schema, the description lists key return fields (alert name, type, risk colour, affected area, times, excerpt). It covers the main use case. Missing details like error handling or rate limits, but acceptable for a read-only tool.

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

Parameters3/5

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

The input schema covers all three parameters with descriptions (100% coverage). The description provides an example but does not add significant semantic meaning beyond what the schema already offers. Baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the tool retrieves active Environment Canada weather alerts across Canada, optionally filtered by location. It specifies the resource (weather alerts), source (Environment Canada), and details returned (e.g., alert name, type, risk colour). This distinguishes it from siblings like 'recent_alerts'.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions optional filtering by location and gives an example but does not explicitly state when to use this tool versus alternatives like 'recent_alerts' or other weather tools. There is no guidance on when not to use it or prerequisites.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.8/5.0
Disambiguation3/5

Many tools have distinct purposes (e.g., current_observations vs. climate_daily), but several query tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, bet_research) overlap in function, all routing questions to a large tool catalog. This can confuse an agent about which to use.

Naming Consistency3/5

Names are snake_case but follow no consistent pattern: some are verb_noun (ask_pipeworx), some noun_adjective (climate_daily), others compound (ai_visibility_check). The mix is readable but not predictable.

Tool Count2/5

33 tools is high for a server named 'Weather Gc Ca', which implies a focused weather service. Many tools are unrelated to weather (Polymarket, SEC, FDA, etc.), making the count inflated and mismatched to the server's apparent scope.

Completeness2/5

For weather, the server covers alerts, current observations, and climate records but lacks forecasts, radar, satellite imagery, and station listings. While the broader Pipeworx catalog is extensive, the weather-specific surface is incomplete for a dedicated weather tool.