Distribute rewards to all opted-in holders of a TIP-20 token.
AI agents use distribute_rewards to commit financial operations through Tempo — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool executes a financial operation that distributes token rewards to holders on the Tempo blockchain. Given the server's purpose of executing real-world stablecoin payments, distributing rewards constitutes committing financial obligations and moving monetary value at scale to multiple recipients, making it Financial category with critical severity due to the potential blast radius of a mass payout operation…
From the tool's definition 'Distribute rewards to all opted-in holders of a TIP-20 token' — this moves financial value (rewards/payments) to multiple recipients on a blockchain
Documented attack patterns abuse exactly the kind of access distribute_rewards gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tempo, and nothing reaches the server without passing your rules. This is the rule we recommend for distribute_rewards:
{
"version": "1",
"default": "deny",
"tools": {
"distribute_rewards": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
} Any call to distribute_rewards is blocked until a human approves it. The rest of the server keeps working.
Free to start. No card required.
Distribute rewards to all opted-in holders of a TIP-20 token. It is categorised as a Financial tool in the Tempo MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Tempo MCP server in PolicyLayer and add a rule for distribute_rewards: 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 Tempo. Nothing to install.
distribute_rewards is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the distribute_rewards 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 distribute_rewards. 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.
distribute_rewards is provided by the Tempo MCP server (arome3/tempo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tempo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
61 Tempo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.