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00aimlds00

Weather MCP Server

by 00aimlds00

get_forecast

Get a weather forecast for a specific location using latitude and longitude. Returns National Weather Service data including temperature, wind, and precipitation.

Instructions

Get weather forecast for a location.

Args: latitude: Latitude of the location longitude: Longitude of the location

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latitudeYes
longitudeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are supplied, so the description must carry the full burden of explaining behavior. It only says 'Get weather forecast' with no mention of whether the operation is data-producing, side-effect-free by implication, but it also omits things like whether special credentials are needed, rate limits, error cases, or how the forecast is time-bounded. This is a meaningful gap for an unannotated tool.

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

Conciseness5/5

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

The description is compact and front-loaded with the decisive sentence. The Args block is minimal and structurally clear, and there is no irrelevant filler or repetition beyond the parameter lines.

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 a simple tool, an output schema, and only two parameters, the description covers the basic invocation requirements. However, it leaves out usage distinctions and fails to clarify behavior beyond 'get forecast', which matters especially because annotations are absent.

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?

The schema has no parameter descriptions and the description merely restates 'latitude: Latitude of the location' and 'longitude: Longitude of the location'. There is no added meaning about decimal-degree ranges, examples, units, or coordinate-system caveats, so the description fails to compensate for the low schema coverage.

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 states a specific verb phrase 'Get weather forecast' with a clear target: a location. This makes the core purpose obvious. It does not explicitly contrast with the sibling tool get_alerts, so it stops short of fully differentiating itself.

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?

The description gives no guidance on when to prefer this tool over get_alerts or other weather-related options. It does not mention scenarios, limitations, or when not to use it, so the agent has to infer appropriateness from the tool name alone.

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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