AI agents call proxy_result_after_meeting to retrieve information from Open Proxy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description lowering confidence, the naming convention and server context strongly suggest this tool retrieves post-meeting proxy voting results or outcomes. This is a read-only query operation with no modification, deletion, or execution capabilities. No financial transactions are implied. The blast radius of accidental misuse is minimal since it only accesses historical governance data.
From the tool's definition Tool name 'proxy_result_after_meeting' with sibling tools all prefixed 'agm_' (annual general meeting) suggests retrieval of meeting outcome data.
Documented attack patterns abuse exactly the kind of access proxy_result_after_meeting gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Open Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for proxy_result_after_meeting:
{
"version": "1",
"default": "deny",
"tools": {
"proxy_result_after_meeting": {}
}
}proxy_result_after_meeting is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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proxy_result_after_meeting. It is categorised as a Read tool in the Open Proxy MCP Server, which means it retrieves data without modifying state.
Register the Open Proxy MCP server in PolicyLayer and add a rule for proxy_result_after_meeting: 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 Open Proxy. Nothing to install.
proxy_result_after_meeting 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 proxy_result_after_meeting 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 proxy_result_after_meeting. 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.
proxy_result_after_meeting is provided by the Open Proxy MCP server (marcoyou/open-proxy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Open Proxy, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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54 Open Proxy tools catalogued and risk-classified — across an index of 43,000+ MCP servers.