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Weather MCP Server

get_alerts

Retrieve active weather alerts for any US state using two-letter state codes to monitor severe conditions and stay informed about local warnings.

Instructions

Get weather alerts for a state

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateYesTwo-letter state code (e.g. CA, NY)

Implementation Reference

  • src/index.ts:19-65 (registration)
    Registers the get_alerts tool with the MCP server using server.tool(), including name, description, Zod input schema, and inline async handler function.
    server.tool(
      "get_alerts",
      "Get weather alerts for a state",
      {
        state: z.string().length(2).describe("Two-letter state code (e.g. CA, NY)"),
      },
      async ({ state }) => {
        const stateCode = state.toUpperCase();
        const alertsUrl = `${NWS_API_BASE}/alerts?area=${stateCode}`;
        const alertsData = await makeNWSRequest<AlertsResponse>(alertsUrl);
    
        if (!alertsData) {
          return {
            content: [
              {
                type: "text",
                text: "Failed to retrieve alerts data",
              },
            ],
          };
        }
    
        const features = alertsData.features || [];
        if (features.length === 0) {
          return {
            content: [
              {
                type: "text",
                text: `No active alerts for ${stateCode}`,
              },
            ],
          };
        }
    
        const formattedAlerts = features.map(formatAlert);
        const alertsText = `Active alerts for ${stateCode}:\n\n${formattedAlerts.join("\n")}`;
    
        return {
          content: [
            {
              type: "text",
              text: alertsText,
            },
          ],
        };
      },
    );
  • The async handler function implementing get_alerts tool logic: uppercases state code, constructs NWS alerts URL, fetches data with makeNWSRequest, handles no-data cases, maps features to formatAlert, joins formatted alerts into text response.
    async ({ state }) => {
      const stateCode = state.toUpperCase();
      const alertsUrl = `${NWS_API_BASE}/alerts?area=${stateCode}`;
      const alertsData = await makeNWSRequest<AlertsResponse>(alertsUrl);
    
      if (!alertsData) {
        return {
          content: [
            {
              type: "text",
              text: "Failed to retrieve alerts data",
            },
          ],
        };
      }
    
      const features = alertsData.features || [];
      if (features.length === 0) {
        return {
          content: [
            {
              type: "text",
              text: `No active alerts for ${stateCode}`,
            },
          ],
        };
      }
    
      const formattedAlerts = features.map(formatAlert);
      const alertsText = `Active alerts for ${stateCode}:\n\n${formattedAlerts.join("\n")}`;
    
      return {
        content: [
          {
            type: "text",
            text: alertsText,
          },
        ],
      };
    },
  • Zod input schema for get_alerts tool, validating 'state' as exactly 2-character string with description.
    {
      state: z.string().length(2).describe("Two-letter state code (e.g. CA, NY)"),
    },
  • Helper function to format a single AlertFeature into a readable multi-line string, used in get_alerts handler.
    export function formatAlert(feature: AlertFeature): string {
      const props = feature.properties;
      return [
        `Event: ${props.event || "Unknown"}`,
        `Area: ${props.areaDesc || "Unknown"}`,
        `Severity: ${props.severity || "Unknown"}`,
        `Status: ${props.status || "Unknown"}`,
        `Headline: ${props.headline || "No headline"}`,
        "---",
      ].join("\n");
    }
  • Generic helper function for making authenticated fetch requests to NWS API, returning typed JSON or null on error, used in get_alerts to fetch alerts data.
    export async function makeNWSRequest<T>(url: string): Promise<T | null> {
      const headers = {
        "User-Agent": USER_AGENT,
        Accept: "application/geo+json",
      };
    
      try {
        const response = await fetch(url, { headers });
        if (!response.ok) {
          throw new Error(`HTTP error! status: ${response.status}`);
        }
        return (await response.json()) as T;
      } catch (error) {
        console.error("Error making NWS request:", error);
        return null;
      }
    }

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It does not mention that the tool is read-only, any rate limits, or what the output contains. The description is too minimal to inform an agent about side effects or safety.

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 a single sentence with no unnecessary words. It is efficiently structured and front-loads the essential information.

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?

Given the lack of output schema and annotations, the description is incomplete. It does not describe the return format or structure of alerts, which is important for an agent to process the results. For a simple tool, this gap is significant.

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 coverage is 100%, and the schema already documents the 'state' parameter fully (two-letter code, example). The description adds no additional information about parameters, so baseline score of 3 is appropriate.

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 verb 'Get' and the resource 'weather alerts' with a qualifier 'for a state', making the purpose unambiguous. The sibling tool 'get_forecast' is distinct enough to differentiate without explicit mention.

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 on when to use this tool versus alternatives like 'get_forecast'. No mention of prerequisites or conditions for use. The description only states what the tool does, not when to use it.

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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