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weather_forecast_phoenix

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYes
unitsYesimperial

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
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 well: it discloses the blend model, method labeling, NWS provenance, output fields, and — unusually valuable — dynamic x402 pricing ($0.01 for hours ≤ 48, $0.03 beyond) plus a docs link. The one flaw is the 'up to 168 hours out' claim, which conflicts with the schema's 240-hour maximum and could mislead an agent about the achievable horizon.

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-loads the purpose reasonably well, but the opening is redundant ('Hourly Phoenix weather forecast' immediately restated as 'Hourly weather forecast for Phoenix'), and the bracketed HTTP/pricing/docs block is dense and appended rather than integrated.

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?

For a 2-param tool with no annotations and no output schema, the description supplies useful provenance, output shape, and pricing, but leaves both input parameters undocumented and states a horizon (168h) inconsistent with the schema (240h). It is usable but not complete.

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, and it largely does not. It never explains the `hours` parameter (only loosely implies a 168-hour ceiling, contradicted by the schema max of 240) and never mentions `units` or the metric/imperial enum at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Hourly weather forecast for Phoenix: temperature, precipitation probability, and wind') and explicitly contrasts itself with the /v1/forecast/point sibling ('Same shape as ... with the Phoenix coordinates built in'). It does not address the very similar weather_forecast-window_phoenix sibling, but the city-scoped purpose is unambiguous.

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?

Implied usage is clear (get an hourly forecast for Phoenix) and the point to /v1/forecast/point comparison hints at the alternative, but there is no explicit when-to-use/when-not guidance, no mention of when the window or probabilistic variants would be preferable, and no prerequisite statement beyond the pricing note.

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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