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Money Reactor

get_weather

Paid $0.002 (x402, USDC Base): current weather for any city worldwide (temperature, feels-like, humidity, wind, conditions) via Open-Meteo with city geocoding.

Input Schema

NameRequiredDescriptionDefault
cityYesCity name, e.g. 'New York'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose the most consequential trait: a $0.002 charge settled via x402/USDC on Base, plus the upstream provider (Open-Meteo) and that city-name geocoding happens. It stops short of covering failure modes, rate limits, or caching behavior, but the payment/auth disclosure is genuinely valuable context.

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

Conciseness5/5

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

One dense sentence with the cost/mechanism front-loaded ahead of the capability and the return fields. Every clause earns its place and there is no filler.

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

Completeness4/5

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

For a one-parameter tool with no output schema, the description usefully enumerates the returned metrics and discloses the payment model, so an agent can call it correctly. The lack of any error or availability caveat is a minor residual gap.

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 'city' parameter, so the schema already documents format and example. The description only adds that any city worldwide is accepted and that the value is geocoded, which is marginal but consistent with the baseline 3 for high-coverage schemas.

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 ('current weather for any city worldwide') and enumerates the returned fields (temperature, feels-like, humidity, wind, conditions). The weather domain is unmistakably distinct from every sibling (crypto, repo, time, chat tools), so no disambiguation is needed.

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?

Usage is only implied: 'current weather' signals this is not a forecast tool, and 'any city worldwide' signals scope. There is no explicit when-to-use, when-not-to-use, or named alternative, so the agent must infer intent from the adjective 'current' alone.

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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