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weather_alerts_fire-weather

Active and forecast fire weather risk (NWS + model). Active NWS alerts filtered to fire weather hazards for any US point, with model-based risk context. Same shape as /v1/alerts/severe with the hazard class fixed to fire weather. [HTTP: GET /v1/alerts/fire-weather · price $0.01 via x402 · docs https://x402-factory.com/docs/weather.alerts.fire-weather]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNo
lonNo
stateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden, and it delivers non-obvious context: the underlying sources (NWS plus model risk), the filtering semantics, the US-point geographic scope, the response-shape reference to /v1/alerts/severe, and the access model (GET, $0.01 via x402, docs link). It still omits auth/payment mechanics beyond price and any rate-limit or empty-result behavior, keeping it short of 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.

Conciseness4/5

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

Purpose is front-loaded in the first sentence and the description stays to roughly three sentences with no filler. The bracketed endpoint/price/docs block is metadata rather than prose, which is slightly boilerplate but useful for a paid API.

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 no-annotation, no-output-schema data retrieval tool, the description covers what is returned only by reference ('same shape as /v1/alerts/severe'), which is not self-contained, and leaves parameter behavior unexplained. It is adequate to decide whether to call the tool but incomplete for interpreting the response or choosing which parameters to send.

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% and none of the three parameters (lat, lon, state) are explained. The phrase 'for any US point' only loosely implies lat/lon semantics, and it never addresses the state parameter or what happens when no location parameter is supplied (required count is 0). With low coverage the description should compensate and largely does not.

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?

States a specific resource ('active and forecast fire weather risk') with explicit data sources (NWS + model) and adds that it is 'NWS alerts filtered to fire weather hazards for any US point'. It directly distinguishes itself from the sibling family by noting it has the 'same shape as /v1/alerts/severe with the hazard class fixed to fire weather', so an agent can tell it apart from weather_alerts_flood/heat/tornado without opening schemas.

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?

The description establishes when this applies (fire weather hazards at a US point) and implicitly routes hazard selection among the alerts_* siblings via the fixed hazard class. It does not explicitly state exclusions or name an alternative tool the way a 5 would, but the context is unambiguous for a hazard-specific endpoint.

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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