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YRUZ x402 tools

YRUZ Weather Forecast (0.003 USDC)

weather_forecast
Read-onlyIdempotent

Weather for any place on Earth: current conditions (temperature, feels-like, wind, humidity, pressure, cloud, precipitation), the next 48 hours hour by hour and a 7-day forecast with highs, lows and rain, in metric and imperial units, plus active official weather alerts for US locations. Place by name or coordinates. Data: MET Norway (CC BY 4.0) and the US National Weather Service. Price: 0.003 USDC per call, paid with x402 (USDC on Base or Solana, no account, no API key); invalid input is refused before payment and a failed run is never charged. Without a payment the tool returns the x402 PaymentRequired. Free sample answer: get_example {"tool":"weather_forecast"}. Same tool over HTTP: https://yruz.one/api/weather?q=New+York

Input Schema

NameRequiredDescriptionDefault
qNoplace name (required unless lat/lon), e.g. Berlin or Austin, TX
latNolatitude, -90 to 90
lonNolongitude, -180 to 180

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/openWorld/non-destructive, and the description goes well beyond them by disclosing the paid x402 flow, the PaymentRequired response without payment, that invalid input is refused before payment, and that failed runs are never charged. It also names the upstream data sources, giving the agent confidence about provenance.

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?

It is dense but front-loaded: capability first, then inputs, then data sources and payment terms. Every sentence carries information, though the pricing/x402 mechanics and the HTTP URL could be trimmed for a single-call tool without loss of essential meaning.

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

Completeness5/5

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

With no output schema, the description explicitly enumerates the return contents (current fields, hourly, 7-day highs/lows/rain, alerts), notes US-only alerts, and covers the payment/error path. Nothing an agent needs to call or interpret the tool correctly is missing.

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% — q, lat and lon are each documented with type and range. The description's 'Place by name or coordinates' restates the schema's required-unless-lat/lon relationship without adding format or syntax detail, so the baseline 3 applies.

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 names a specific resource (weather for any place on Earth) and enumerates the exact payloads returned: current conditions, hourly 48h, 7-day forecast, and US alerts. No sibling tool covers weather, so it is trivially distinguishable, and the scope (metric/imperial, name or coordinates) is stated up front.

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?

It states the two input modes ('Place by name or coordinates') and clarifies the payment precondition plus the invalid-input/no-charge behavior, which tells the agent when a call will succeed. There is no explicit when-not-to-use or alternative-tool routing, but no sibling overlaps on weather, so little is left to inference.

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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