get_incentive
AI agents call get_incentive to retrieve information from Fuul MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix and its position among write/destructive operations (create, delete, approve) indicate this tool queries or retrieves incentive data without side effects. No capability to modify, execute code, delete data, or move money is evident.
From the tool's definition Tool name 'get_incentive' follows the 'get_*' retrieval pattern; context shows it is a sibling to data-modification tools (create_incentive, delete_incentive, approve_payouts) which suggests this tool retrieves rather than modifies.
Attacks that exploit this kind of access
get_incentive. It is categorised as a Read tool in the Fuul MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Fuul MCP Server MCP server in PolicyLayer and add a rule for get_incentive: 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 Fuul MCP Server. Nothing to install.
get_incentive 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_incentive 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_incentive. 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_incentive is provided by the Fuul MCP Server MCP server (kuyen-labs/mcp_server). 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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