Get current weather data for one or more locations.
AI agents call get_weather to retrieve information from PraisonAI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves weather data without modifying, deleting, or executing code. It has no financial implications and poses minimal risk if misused by an AI agent, as it only returns informational data. The severity is low because incorrect weather queries have no destructive impact.
From the tool's definition Tool name 'get_weather' and description 'Get current weather data for one or more locations' indicates a read-only retrieval operation that queries weather information without side effects.
Documented attack patterns abuse exactly the kind of access get_weather gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PraisonAI, and nothing reaches the server without passing your rules. This is the rule we recommend for get_weather:
{
"version": "1",
"default": "deny",
"tools": {
"get_weather": {}
}
}get_weather is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get current weather data for one or more locations. It is categorised as a Read tool in the PraisonAI MCP Server, which means it retrieves data without modifying state.
Register the PraisonAI MCP server in PolicyLayer and add a rule for get_weather: 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 PraisonAI. Nothing to install.
get_weather 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 get_weather 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 get_weather. 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.
get_weather is provided by the PraisonAI MCP server (pypi:praisonai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from PraisonAI, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 PraisonAI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.