AI agents call check_user_vote to retrieve information from Topgg without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries existing vote status information for a user. It is a non-destructive read operation with no side effects. The blast radius is minimal—an AI agent checking votes cannot cause harm beyond retrieving information that is typically non-sensitive in a public voting system.
From the tool's definition Tool name 'check_user_vote' and description 'Check the current vote status' indicate a query operation that retrieves vote data without modifying anything.
Attacks that exploit this kind of access
Check the current vote status for a specific user on this Top.gg project. It is categorised as a Read tool in the Topgg MCP Server, which means it retrieves data without modifying state.
Register the Topgg MCP server in PolicyLayer and add a rule for check_user_vote: 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 Topgg. Nothing to install.
check_user_vote 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 check_user_vote 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 check_user_vote. 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.
check_user_vote is provided by the Topgg MCP server (paillat-dev/topgg-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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