Use this when the user says things like
AI agents invoke richgo_build_portfolio to trigger actions in Richgo Finance MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
richgo_build_portfolio triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Use this when the user says things like. It is categorised as a Execute tool in the Richgo Finance MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Richgo Finance MCP server in PolicyLayer and add a rule for richgo_build_portfolio: 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 Richgo Finance MCP. Nothing to install.
richgo_build_portfolio is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the richgo_build_portfolio 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 richgo_build_portfolio. 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.
richgo_build_portfolio is provided by the Richgo Finance MCP server (reallygood83/rfmcp). 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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