AI agents call list_districts to retrieve information from Gobox without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves geographical district information for a given city ID. It performs a read-only lookup operation without creating, modifying, deleting, or executing any actions that would change system state or have external effects. The low severity reflects minimal blast radius if misused by an AI agent—it can only retrieve location data.
From the tool's definition Tool name 'list_districts' and description 'List districts for a city' indicate a query/retrieval operation with no data modification or side effects.
Attacks that exploit this kind of access
List districts for a city. city_id is REQUIRED. It is categorised as a Read tool in the Gobox MCP Server, which means it retrieves data without modifying state.
Register the Gobox MCP server in PolicyLayer and add a rule for list_districts: 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 Gobox. Nothing to install.
list_districts 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 list_districts 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 list_districts. 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.
list_districts is provided by the Gobox MCP server (winter279/gobox-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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