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yusuf-bolat

Weather MCP Server

by yusuf-bolat

get_alerts

Retrieve weather alerts for any US state using its two-letter code. Get current warnings and advisories to stay informed and prepared.

Instructions

Get weather alerts for a US state.

Args:
    state: Two-letter US state code (e.g. CA, NY)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. However, it only states the basic action and parameter, without revealing any behavioral traits such as return format, rate limits, or safety profile. This leaves a significant gap in what the agent can infer about the tool's behavior.

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 exceptionally concise, with only two sentences and a parameter explanation. Every word is purposeful with no redundancy, making it easy to parse and understand quickly.

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?

Despite the simplicity, the tool has an output schema that presumably covers return values, and the single parameter is fully explained. The description lacks explicit usage guidance and behavioral details, but for its minimal scope it is mostly complete. A brief note on what kind of alerts are returned would improve completeness, but it is not critical.

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

Parameters4/5

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

The input schema provides only a type and title for 'state', so the description's clarification that it is a 'Two-letter US state code (e.g. CA, NY)' adds essential meaning beyond the schema. This fully compensates for the 0% schema description coverage, though it could mention validation or edge cases.

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 clearly states the tool's function with a specific verb and resource: 'Get weather alerts for a US state.' This is unambiguous and naturally distinguishes it from sibling tools like get_forecast and get_hourly_forecast, which focus on forecasts rather than alerts.

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 retrieving alerts but does not explicitly contrast with the forecast siblings. It provides the context of 'US state' but lacks explicit exclusions or alternative tool mentions, so usage guidance is implied rather than stated.

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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