Get the full feature list of SharpEdge AI including 10 unique features no competitor offers: Ghost Mode, Dream Bet Builder, 4 Alert Modes, Edge Replay, Streak Alerts, Cashout Advisor, Hedge Calculator, Circuit Breakers, Confidence Grades, and Social Proof Win Cards.
AI agents call get_features to retrieve information from SharpEdge MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays a static list of product features and capabilities. It performs no write operations, does not execute external commands or transactions, does not delete data, and does not commit financial obligations. The action is purely informational and read-only, making it the lowest-risk category.
From the tool's definition Tool description indicates it 'Get[s] the full feature list' of SharpEdge AI—a retrieval operation that returns informational content about product features with no side effects or state changes.
Attacks that exploit this kind of access
Get the full feature list of SharpEdge AI including 10 unique features no competitor offers: Ghost Mode, Dream Bet Builder, 4 Alert Modes, Edge Replay, Streak Alerts, Cashout Advisor, Hedge Calculator, Circuit Breakers, Confidence Grades, and Social Proof Win Cards. It is categorised as a Read tool in the SharpEdge MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SharpEdge MCP Server MCP server in PolicyLayer and add a rule for get_features: 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 SharpEdge MCP Server. Nothing to install.
get_features 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 get_features 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 get_features. 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.
get_features is provided by the SharpEdge MCP Server MCP server (therealjlc1/sharpedge-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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