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US severe weather (NWS, NHC, NWPS, FAA TFR)

get_severe_weather
Read-onlyIdempotent

Use this when you need current US severe-weather alerts, tropical storms, rivers in flood and FAA TFRs, reduced to state, region or zone (no coordinates or station IDs). Free. License: cleared. Attribution required: NOAA / National Weather Service (https://www.weather.gov/). NOAA / National Hurricane Center (https://www.nhc.noaa.gov/). NOAA National Water Prediction Service (https://water.noaa.gov/). FAA TFR list (https://tfr.faa.gov/). Not for navigation or flight planning.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_severe_weather"
  }
}

Input Schema

NameRequiredDescriptionDefault
stateNoTwo-letter USPS state filter (also matches NWS zone text).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

The annotations already cover the safety profile (readOnly, idempotent, openWorld), so the description's added value is in the operational constraints it supplies: US-only coverage, aggregation limited to state/region/zone, free and cleared licensing, and mandatory NOAA/NHC/NWPS/FAA attribution. These are things an agent must know before citing or redistributing the output. It does not describe freshness/latency or the response shape, keeping it below a 5.

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

Conciseness3/5

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

The lead sentence is well front-loaded and the safety disclaimer is a single crisp clause. However, the mid-section is dominated by a four-URL attribution block plus 'Free. License: cleared.', which occupies roughly half the text with legal boilerplate that crowds out behavioral detail. It is structured but not tight.

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

Completeness3/5

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

For a one-optional-parameter, read-only tool with no output schema, the key facts are present: sources, coverage, grain, licence, attribution, and the navigation caveat. The notable omission is what happens when 'state' is omitted — whether that returns nationwide results or errors — which an agent needs in order to decide whether to pass the filter. Freshness of the alert feed is also unstated.

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?

Schema description coverage is 100% for the single optional 'state' parameter, so the baseline is 3. The description's grain note reinforces that filtering is administrative rather than geographic, which is modest added meaning. It also mentions 'region' as a granularity even though no region parameter exists, which introduces slight ambiguity rather than resolving it.

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 combination (current US severe-weather alerts, tropical storms, river flooding, FAA TFRs) and states the aggregation grain (state, region or zone). The 'no coordinates or station IDs' note sharply separates it from point-based hazard lookups in the sibling set. It stops short of naming a specific sibling to prefer over it, so it does not reach a 5.

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

Usage Guidelines4/5

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

'Use this when you need current US severe-weather alerts, tropical storms, rivers in flood and FAA TFRs' gives a clear triggering condition, and 'Not for navigation or flight planning' is an explicit when-not with a safety rationale. What is missing is routing guidance against near-neighbours such as get_hazard_alerts, get_natural_events, or get_travel_advisories, which an agent would have to disambiguate on its own.

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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