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yusuf-bolat

Weather MCP Server

by yusuf-bolat

get_forecast

Retrieve a detailed weather forecast for any location by providing its latitude and longitude coordinates.

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?

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Get weather forecast for a location' but does not describe return format, units, timezone, data granularity, or potential error conditions. This goes little beyond restating the tool's name.

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?

The description is brief and front-loaded with the purpose sentence. However, the 'Args' block duplicates the input schema, which adds clutter without value. It is concise in word count but not every line earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool appears simple (two numeric parameters) and has an output schema, but the description still lacks essential context: what the forecast covers (hourly? daily?), the response structure, and how it differs from sibling tools. An agent cannot fully infer usage or expectations from this minimal text.

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 provides no description coverage (0%), so the description must compensate. However, the 'Args' section merely repeats the names and one-line definitions already present in the schema, adding no units, ranges, examples, or semantic context for latitude and longitude.

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 clear verb+resource ('Get weather forecast') and identifies the location parameters. However, it does not specify the forecast's time frame (e.g., daily, current) or distinguish it from the sibling tool 'get_hourly_forecast', so it lacks full differentiation.

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?

No guidance is provided on when to use this tool versus the siblings 'get_alerts' or 'get_hourly_forecast'. There is no mention of scenarios, exclusions, or alternative tools, leaving the selection decision entirely to the agent.

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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