risk_score
AI agents call risk_score to retrieve information from ProfitSpot MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Risk scoring in DeFi contexts is typically a read operation that calculates and returns a risk metric based on pool or asset parameters. It does not create, modify, delete, or execute arbitrary code.
From the tool's definition Tool named 'risk_score' is grouped with sibling tools that are all read-only analytics: 'analyze_pool', 'calculate_impermanent_loss', 'defi_overview', 'discover_yields', 'simulate_profit', and 'track_whales'.
Attacks that exploit this kind of access
risk_score. It is categorised as a Read tool in the ProfitSpot MCP MCP Server, which means it retrieves data without modifying state.
Register the ProfitSpot MCP server in PolicyLayer and add a rule for risk_score: 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 ProfitSpot MCP. Nothing to install.
risk_score 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 risk_score 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 risk_score. 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.
risk_score is provided by the ProfitSpot MCP server (omniologynow-rgb/profitspot-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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