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AsifMarwat

weather-mcp-pro

by AsifMarwat

get_weather_forecast

Get a multi-day weather forecast for any city, with configurable forecast length and units. Specify a location and receive up to 5 days of weather predictions.

Instructions

Get a multi-day weather forecast for a location.

Args: location: City name, optionally "City,CountryCode" days: Number of days to forecast (1-5) units: "metric", "imperial", or "standard"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
unitsNometric
locationYes
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It focuses on input parameters and not on behavioral outcomes, such as the response format or error conditions. The 'Get' verb implies a read-only operation with no side effects, but no further behavioral disclosure is given.

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, with a clear purpose statement followed by a concise Args list. Every sentence contributes value, and the structure is easy to scan.

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?

The tool is simple and the description covers parameters well, but it omits any mention of the return structure (e.g., daily high/low, precipitation) or potential limitations. Since no output schema exists, a bit more detail on the forecast content would improve completeness, but the core use case is adequately clear.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides no property descriptions (0% coverage), so the description fully compensates. It adds critical detail: location format as 'City,CountryCode', days range 1-5, and explicit unit values. This goes beyond the schema's type/default information and is essential for correct invocation.

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?

The description opens with 'Get a multi-day weather forecast for a location,' using a specific verb and resource. The 'multi-day' qualifier clearly distinguishes it from sibling get_current_weather, making the purpose 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?

The description implies usage for multi-day forecasts but does not explicitly state when to choose this over get_current_weather or compare_weather. No alternatives or exclusion criteria are mentioned, leaving usage context to be inferred.

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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