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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

weather_alerts

Active weather alerts (US points; NOAA). $0.005 per call — USDC on Solana via x402 (over MCP: call without payment to get the PaymentRequired challenge, then retry with the payment at _meta["x402/payment"]). HTTP equivalent: GET https://exchangerebel.com/toll/weather/alerts.

Input Schema

NameRequiredDescriptionDefault
latYesLatitude
lonYesLongitude

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Goes well beyond annotations by disclosing the $0.005 per-call cost, the x402/USDC-on-Solana payment model, the exact two-step MCP flow (call unpaid → receive PaymentRequired → retry with _meta["x402/payment"]), and the HTTP equivalent endpoint. Missing only failure/pagination details, which for a single-shot alert lookup is minor. No contradiction: readOnlyHint=false is consistent with a paid call that has a payment side effect, not with a write.

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 clause and the payment/logistics details follow in service of actually completing the call. Dense but every sentence is load-bearing; only the raw HTTP URL could arguably be trimmed.

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?

Covers invocation fully, including the non-obvious payment handshake, which is the hard part. However, with no output schema, the description says nothing about the shape of an alerts response (alert fields, empty-result behavior) or about non-US coordinate handling, leaving an agent uncertain about what comes back.

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 coverage is 100%, so the schema carries the parameter burden, but its descriptions are bare ('Latitude', 'Longitude'). The tool description adds no format, precision, or sign-convention detail and does not say how coordinates outside the US are handled. Baseline 3 applies.

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?

Names a specific resource and scope: 'Active weather alerts (US points; NOAA)'. It is distinguishable from weather_current and weather_forecast by resource type (alerts vs. conditions/forecast), though it never explicitly contrasts itself with 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 Guidelines3/5

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

The 'US points' qualifier implies a geographic constraint and the tool's purpose implies when to reach for it, but there is no explicit when-to-use/when-not guidance and no routing to weather_current or weather_forecast for the non-alert or non-US case.

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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