Estimate staking rewards earned over a given period (7d/30d/90d/1y) using the current APR as a proxy. This is an estimate, not an on-chain rewards query.
AI agents call get_staking_rewards to retrieve information from VaultPilot MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
period | string | — | Lookback window for aggregating accrued rewards. Defaults to 30d. |
wallet | string | Yes | 0x-prefixed EVM wallet address (40 hex chars) to inspect. |
Parameters from the server's own tool schema.
Even though get_staking_rewards only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Estimate staking rewards earned over a given period (7d/30d/90d/1y) using the current APR as a proxy. This is an estimate, not an on-chain rewards query. It is categorised as a Read tool in the VaultPilot MCP MCP Server, which means it retrieves data without modifying state.
get_staking_rewards accepts 2 parameters: period, wallet. Required: wallet. The full parameter table on this page comes from the server's own tool schema.
Register the VaultPilot MCP server in PolicyLayer and add a rule for get_staking_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 VaultPilot MCP. Nothing to install.
get_staking_rewards 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_staking_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 get_staking_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.
get_staking_rewards is provided by the VaultPilot MCP server (vaultpilot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.