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brianbooms

Quiet Menders MCP Server

qm_data_weather

Fetches current weather and a 7-day forecast for any latitude/longitude, enabling trip planning and location-aware event scheduling. Requires paid x402 access via the two-call payment flow.

Instructions

Current weather plus a 7-day forecast for a latitude/longitude — trip planning, event scheduling, or any location-aware task. Give coordinates; qm_data_geocode translates place names. Price: $0.01 USDC on Base via x402 (the live 402 challenge is authoritative). Two-phase: call without 'payment' to get the live payment requirements (payTo, amount, accepted networks); pay from your own wallet, then re-call with 'payment' set to the base64-encoded x402 payload — the data comes back in the tool result. This tool never pays, never touches private keys, and never holds funds. Resale permitted: you may resell this data output at your own price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latYesLatitude (-90 to 90).
lonYesLongitude (-180 to 180).
paymentNoBase64-encoded x402 v1 payment payload (the signed ExactEvmPayload JSON). Omit on the first call to receive the payment requirements; sign in your own wallet / x402 client, then re-call with this set. The server only forwards it to the rail — it never signs, never holds funds, never touches private keys.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.0

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so: it discloses the $0.01 USDC/Base x402 price, the two-phase challenge-then-pay flow, that the live 402 challenge is authoritative, that data returns in the tool result, that the tool never pays, never touches private keys, and never holds funds, and that resale is permitted. This is exactly the kind of side-effect and payment-behavior disclosure a payment-gated tool needs.

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?

Front-loaded with purpose, then usage, then payment mechanics, so an agent gets the essential framing first. It is dense and the payment explanation slightly overlaps the schema's own 'payment' description, but every sentence is doing relevant work given the x402 complexity.

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?

For a payment-gated, no-annotation, no-output-schema tool, the description covers what is needed to invoke it correctly: inputs, the two-phase payment handshake, where the data appears, and the safety/licensing posture. Nothing an agent needs before calling 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%, so the lat/lon ranges and the payment payload semantics are already fully documented in the schema; baseline is 3. The description restates the two-phase payment pattern rather than adding syntax, format, or edge-case meaning beyond what the parameter descriptions already provide.

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+resource (current weather plus a 7-day forecast) and its scoping input (latitude/longitude), then distinguishes itself from qm_data_geocode, which handles place names. An agent can tell what this returns and how it differs from the geocoding sibling without opening either 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?

Names concrete usage contexts (trip planning, event scheduling, location-aware tasks) and routes the agent to the alternative tool (qm_data_geocode) when it only has a place name. It stops short of an explicit when-not-to-use or a list of conditions under which it should be preferred over any other data sibling, so it is strong but not exhaustive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.