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US Weather (NWS): 7-day forecast

us-weather__forecast
Read-onlyIdempotent

Twice-daily forecast periods for a grid square. Free within the daily allowance, then $0.002 USDC per call via x402.

Input Schema

NameRequiredDescriptionDefault
xYesGrid X
yYesGrid Y
officeYesForecast office id from the points endpoint

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, open-world and non-destructive, so the safety profile is fully covered. The description usefully adds the billing model (free within the daily allowance, then $0.002 USDC per call via x402), which is genuinely beyond structured fields, but it stops there with no rate-limit, dependency, or freshness detail.

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?

Two short sentences, zero filler, with the purpose stated first and the cost caveat second. Structure is efficient and front-loaded, though the paywalled pricing clause is arguably the less important detail to lead into.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. Purpose for a simple 3-param lookup is adequately conveyed; the only real gap is differentiation from the hourly forecast sibling, which is a minor omission for a low-complexity tool.

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 x, y, and office are already documented, including the note that office comes from the points endpoint. The description's phrase 'for a grid square' frames the three params but adds no syntax or format meaning beyond the schema. Baseline 3 applies.

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?

The description names a specific resource and cadence ('Twice-daily forecast periods for a grid square'), which implicitly distinguishes it from the hourly sibling and from global-weather tools. It is clear what comes back, though it never names the alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no routing to or away from siblings like us-weather__forecast-hourly or global-weather__forecast. The pricing sentence describes cost, not usage conditions, and nothing tells the agent when this forecast is the right pick.

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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