Low Risk

get_reserve_rate_history

Use this when the user asks about historical AAVE rates or TVL trends — 'How has USDC supply rate changed over time?', 'Show me ETH borrow rate history on Polygon', 'What was the utilization rate last week?'. Returns timestamped snapshots of: liquidityRate, variableBorrowRate, stableBorrowRate, u...

Part of the Graph Aave server.

get_reserve_rate_history is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_reserve_rate_history to retrieve information from Graph Aave without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_reserve_rate_history only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_reserve_rate_history": {}
  }
}

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_reserve_rate_history tool do? +

Use this when the user asks about historical AAVE rates or TVL trends — 'How has USDC supply rate changed over time?', 'Show me ETH borrow rate history on Polygon', 'What was the utilization rate last week?'. Returns timestamped snapshots of: liquidityRate, variableBorrowRate, stableBorrowRate, utilizationRate, availableLiquidity, totalLiquidity, totalCurrentVariableDebt. Rates are in RAY units (divide by 1e27 * 100 for APY %). Get the reserve ID from get_aave_reserves (the 'id' field = underlyingAsset + poolAddress).. It is categorised as a Read tool in the Graph Aave MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_reserve_rate_history? +

Register the Graph Aave MCP server in PolicyLayer and add a rule for get_reserve_rate_history: 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 Graph Aave. Nothing to install.

What risk level is get_reserve_rate_history? +

get_reserve_rate_history is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_reserve_rate_history? +

Yes. Add a rate_limit block to the get_reserve_rate_history 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 get_reserve_rate_history completely? +

Set action: deny in the PolicyLayer policy for get_reserve_rate_history. 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 get_reserve_rate_history? +

get_reserve_rate_history is provided by the Graph Aave MCP server (graph-aave-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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