Low Risk

get_hyperlocal_forecast

get_hyperlocal_forecast

How to control get_hyperlocal_forecast ↓

What get_hyperlocal_forecast does on WeatherXM Pro MCP Server

AI agents call get_hyperlocal_forecast to retrieve information from WeatherXM Pro MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_hyperlocal_forecast needs a policy

The tool appears to be a weather forecast retrieval function based on its name and the pattern of sibling tools on this weather data server. While the description is empty (reducing confidence), the naming convention and server context strongly suggest it retrieves weather forecast data without modifying or executing operations. No financial, destructive, or code-execution implications are apparent.

From the tool's definition Tool name is 'get_hyperlocal_forecast' and is grouped with other query/retrieval tools (get_forecast_for_cell, get_latest_observation, get_historical_observations, search_cells_in_region, get_stations_*).

Documented attack patterns abuse exactly the kind of access get_hyperlocal_forecast gives an agent:

How to control get_hyperlocal_forecast

PolicyLayer is an MCP gateway — it sits between your AI agents and WeatherXM Pro MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_hyperlocal_forecast:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_hyperlocal_forecast": {}
  }
}

get_hyperlocal_forecast is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register WeatherXM Pro MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about get_hyperlocal_forecast

What does the get_hyperlocal_forecast tool do? +

get_hyperlocal_forecast. It is categorised as a Read tool in the WeatherXM Pro MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_hyperlocal_forecast? +

Register the WeatherXM Pro MCP Server MCP server in PolicyLayer and add a rule for get_hyperlocal_forecast: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches WeatherXM Pro MCP Server. Nothing to install.

What risk level is get_hyperlocal_forecast? +

get_hyperlocal_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_hyperlocal_forecast? +

Yes. Add a rate_limit block to the get_hyperlocal_forecast rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_hyperlocal_forecast completely? +

Set action: deny in the PolicyLayer policy for get_hyperlocal_forecast. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_hyperlocal_forecast? +

get_hyperlocal_forecast is provided by the WeatherXM Pro MCP Server MCP server (weatherxm/weatherxm-pro-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every WeatherXM Pro MCP Server tool call.

Start from WeatherXM Pro MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

11 WeatherXM Pro MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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