Retrieve weather information for a given city.
AI agents call weather_tool to retrieve information from Multi-Server MCP Project 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 for a specified location. The verb 'Retrieve' and the context of querying weather information confirm a read operation with no capability to modify, delete, execute code, or affect financial systems.
From the tool's definition Tool name 'weather_tool' and description 'Retrieve weather information for a given city' indicate a read-only operation that queries and returns data without modification or side effects.
Attacks that exploit this kind of access
Retrieve weather information for a given city. It is categorised as a Read tool in the Multi-Server MCP Project MCP Server, which means it retrieves data without modifying state.
Register the Multi-Server MCP Project MCP server in PolicyLayer and add a rule for weather_tool: 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 Multi-Server MCP Project. Nothing to install.
weather_tool 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 weather_tool 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 weather_tool. 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.
weather_tool is provided by the Multi-Server MCP Project MCP server (srinikandula/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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