AI agents call readings_for_city to retrieve information from My without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a simple data retrieval operation: it queries and returns weather readings for a specified city and time window. There are no side effects, no data modification, no code execution, and no destructive or financial impact. It is a straightforward read operation that returns information to the user.
From the tool's definition Tool name 'readings_for_city' and description 'Return recent weather readings' indicate a query operation that retrieves historical weather data without modification or side effects.
Attacks that exploit this kind of access
Return recent weather readings for city over the past hours hours. It is categorised as a Read tool in the My MCP Server, which means it retrieves data without modifying state.
Register the My MCP server in PolicyLayer and add a rule for readings_for_city: 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 My. Nothing to install.
readings_for_city 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 readings_for_city 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 readings_for_city. 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.
readings_for_city is provided by the My MCP server (ovezthaking/mcp-server). 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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