High Risk →

toreva_earn

Deploy idle USDC to the highest-yield DeFi lending strategy on Solana. Risk-ranked across verified Day 1 venues (Kamino, Save) — not just one protocol. Scan, simulate projected returns with fees, and execute via user-signable transaction. Returns structured receipt (what, why, cost, next). Non-cu...

Risk signalsHandles credentials or secrets (token)

Part of the Kit server.

toreva_earn can trigger actions in Kit, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke toreva_earn to trigger processes or run actions in Kit. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

toreva_earn can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "toreva_earn": {
      "limits": [
        {
          "counter": "toreva_earn_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Kit policy for all 23 tools.

Get this rule live on your own Kit server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access toreva_earn gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so toreva_earn only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the toreva_earn tool do? +

Deploy idle USDC to the highest-yield DeFi lending strategy on Solana. Risk-ranked across verified Day 1 venues (Kamino, Save) — not just one protocol. Scan, simulate projected returns with fees, and execute via user-signable transaction. Returns structured receipt (what, why, cost, next). Non-custodial. User-approved. Data transactions are free; value transactions are 2 bps ($2 on $10K). Use when capital is idle or directional strategies underperform.. It is categorised as a Execute tool in the Kit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on toreva_earn? +

Register the Kit MCP server in PolicyLayer and add a rule for toreva_earn: 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 Kit. Nothing to install.

What risk level is toreva_earn? +

toreva_earn is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit toreva_earn? +

Yes. Add a rate_limit block to the toreva_earn 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.

How do I block toreva_earn completely? +

Set action: deny in the PolicyLayer policy for toreva_earn. 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.

What MCP server provides toreva_earn? +

toreva_earn is provided by the Kit MCP server (@toreva/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kit tool call.

Deterministic rules across all 23 Kit tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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