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weather_alerts_flood

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNo
lonNo
stateNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With zero annotations the description carries the full burden, and it does add real behavioral context: sources (NWS + model), that it merges active alerts with model-based risk, and a cost of $0.01 via x402. However it omits auth/permission requirements, rate limits, and any sense of return size or latency, so the disclosure is partial rather than complete.

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?

The core purpose is front-loaded in the first two sentences and the bracketed HTTP/pricing/docs footer is compact and skimmable. Slight redundancy between sentences one and two ('flood' restated) keeps it from a perfect score, but there is no padding.

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 three-parameter tool with no annotations and no output schema, the description nails purpose, cost, and data provenance but leaves the parameter contract ambiguous (lat/lon vs state, required vs optional). The missing piece is precisely the one the structured fields cannot supply.

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 there are three parameters, so the schema adds nothing and the description must compensate. It only implies lat/lon via 'for any US point' and says nothing about the state parameter or whether state is an alternative to lat/lon or a filter combined with them.

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 verb and resource ('Active and forecast flood risk', 'NWS alerts filtered to flood hazards') and then pins its identity against a sibling ('Same shape as /v1/alerts/severe with the hazard class fixed to flood'). An agent can distinguish it from weather_alerts-severe, _heat, _tornado, etc. without opening any schema.

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 sibling reference tells the agent exactly how this differs from the severe-alerts tool and when to prefer it (flood hazard class), and 'for any US point' gives the applicable domain. There are no explicit when-not-to-use statements or named alternatives beyond /v1/alerts/severe, so it stops short of a 5.

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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