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weather_forecast_houston

Hourly Houston weather forecast (blend model, method labeled). Hourly weather forecast for Houston: 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 Houston coordinates built in. [HTTP: GET /v1/forecast/houston · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.houston]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYes
unitsYesimperial

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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 so well: it discloses the blend/NWS provenance, that every response labels the producing method, and the dynamic x402 pricing ($0.01 for ≤48h, $0.03 beyond). It omits return format details and any rate-limit/auth context, keeping it just short of a 5.

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?

Front-loaded and information-dense, but the opening is redundant: 'Hourly Houston weather forecast' is immediately restated as 'Hourly weather forecast for Houston.' The trailing bracketed HTTP/pricing/docs block is useful but dense and could be integrated more cleanly.

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 simple two-parameter tool with no output schema, the description covers returned fields, data provenance, method labeling, and pricing, which is nearly everything an agent needs. Its one real gap is the 168-vs-240-hour inconsistency between the description and the hours schema maximum.

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 compensate for both parameters. It only gestures at 'hours' (and does so inconsistently, claiming 168 hours while the schema allows 240) and says nothing about the 'units' enum (metric/imperial), leaving a required parameter fully unexplained.

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 (hourly Houston weather forecast) and enumerates returned variables (temperature, precipitation probability, wind). It also explicitly distinguishes itself from the sibling weather_forecast-point by noting the Houston coordinates are built in, so an agent can pick it without comparing schemas.

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 'same shape as /v1/forecast/point with the Houston coordinates built in' line implies when to prefer this over forecast-point, but there is no explicit when/when-not guidance and no mention of the closely related weather_forecast-window_houston sibling, leaving an obvious alternative unaddressed.

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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