AI agents call search_location to retrieve information from Weather MCP Tool without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool most likely searches for geographic locations (cities, coordinates) to support weather lookups. No description provided limits confidence slightly, but the context strongly suggests a read-only operation that retrieves location information. No data modification, deletion, code execution, or financial impact is evident.
From the tool's definition Tool name 'search_location' combined with server context ('Provides real-time weather data... from OpenWeatherMap API') and sibling tools (all get_* operations) indicate this retrieves location data for weather queries.
Documented attack patterns abuse exactly the kind of access search_location gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Weather MCP Tool, and nothing reaches the server without passing your rules. This is the rule we recommend for search_location:
{
"version": "1",
"default": "deny",
"tools": {
"search_location": {}
}
}search_location is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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search_location. It is categorised as a Read tool in the Weather MCP Tool MCP Server, which means it retrieves data without modifying state.
Register the Weather MCP Tool MCP server in PolicyLayer and add a rule for search_location: 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 Weather MCP Tool. Nothing to install.
search_location is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_location 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.
Set action: deny in the PolicyLayer policy for search_location. 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.
search_location is provided by the Weather MCP Tool MCP server (saintdoresh/weather-mcp-claudedesktop). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Weather MCP Tool, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Weather MCP Tool tools catalogued and risk-classified — across an index of 43,000+ MCP servers.