get_apr_rewards
Get all APR reward records
This record as markdown: /tools/indigoprotocol-indigo-mcp/get-apr-rewards.md
What get_apr_rewards does on Indigo Protocol MCP
AI agents call get_apr_rewards to retrieve information from Indigo Protocol MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_apr_rewards is rated Low
This tool queries and returns APR reward records without modifying, deleting, or executing any operations. It is a straightforward read operation that retrieves existing data from the Indigo Protocol. No reversible or irreversible changes occur, no code execution is triggered, and no financial transactions are initiated.
From the tool's definition Tool name 'get_apr_rewards' and description 'Get all APR reward records' indicate data retrieval with no side effects.
Attacks that exploit this kind of access
The rule that runs get_apr_rewards safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Indigo Protocol MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_apr_rewards, this is the rule to start with:
get_apr_rewards is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Indigo Protocol MCP, apply this rule, and every get_apr_rewards call is checked against it from then on.
Questions about get_apr_rewards
Get all APR reward records. It is categorised as a Read tool in the Indigo Protocol MCP MCP Server, which means it retrieves data without modifying state.
Register the Indigo Protocol MCP server in PolicyLayer and add a rule for get_apr_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 Indigo Protocol MCP. Nothing to install.
get_apr_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_apr_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_apr_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_apr_rewards is provided by the Indigo Protocol MCP server (indigoprotocol/indigo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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