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weather_forecast_boston

Hourly Boston weather forecast (blend model, method labeled). Hourly weather forecast for Boston: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Boston coordinates built in. [HTTP: GET /v1/forecast/boston · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.boston]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYes
unitsYesimperial

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?

With no annotations the description carries the full burden, and it does disclose meaningful provenance and operation traits: NWS-derived data bias-blended with a calibrated station model, per-response method labeling, the GET endpoint, and metered x402 pricing that changes at 48 hours. This is well beyond what the schema states, though auth/rate-limit behavior is only hinted at.

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

Conciseness3/5

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

The core sentence is front-loaded and useful, but the opening phrase duplicates the second sentence ('Hourly Boston weather forecast' stated twice), and the bracketed HTTP/price/docs block is metadata that could 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?

With no annotations and no output schema, the description does a reasonable job covering data content, provenance, endpoint and pricing, so return values needn't be explained. However it leaves both parameters undocumented and contains an hours-ceiling inconsistency (168 vs schema 240) that could cause an agent to under-request the available range.

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%, so the description must document the two parameters, yet it never explains 'hours' or 'units'. Worse, it says the forecast runs 'up to 168 hours out' while the schema's maximum is 240, and the pricing note references an hours threshold with no clarification of which bound 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?

Names a specific resource and scope: hourly Boston forecast with temperature, precipitation probability and wind, and explicitly ties it to the /v1/forecast/point endpoint with Boston coordinates pre-filled, which distinguishes it from that generic sibling as well as from the many other city variants.

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 reference to 'same shape as /v1/forecast/point with the Boston coordinates built in' implies when to pick this over the generic point endpoint, but no explicit when-to-use or when-not-to-use guidance is given, and closer siblings like weather_forecast-window_boston are never differentiated.

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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