AI agents call rate_limit_status to retrieve information from Open Stocks MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves and reports rate limit statistics—it queries existing data with no side effects, no data modification, no code execution, and no irreversible actions. Despite the server's broader trading capabilities, this specific tool is a simple informational read operation with minimal security impact if accessed by an AI agent.
From the tool's definition Tool name 'rate_limit_status' and description 'Gets current rate limit usage and statistics' indicate a read-only query operation that retrieves usage metrics without modifying any state.
Documented attack patterns abuse exactly the kind of access rate_limit_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Open Stocks MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for rate_limit_status:
{
"version": "1",
"default": "deny",
"tools": {
"rate_limit_status": {}
}
}rate_limit_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets current rate limit usage and statistics. It is categorised as a Read tool in the Open Stocks MCP MCP Server, which means it retrieves data without modifying state.
Register the Open Stocks MCP server in PolicyLayer and add a rule for rate_limit_status: 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 Stocks MCP. Nothing to install.
rate_limit_status 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 rate_limit_status 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 rate_limit_status. 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.
rate_limit_status is provided by the Open Stocks MCP server (open-agent-tools/open-stocks-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Open Stocks MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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152 Open Stocks MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.