Low Risk

yield_compare

Compare two protocols side by side — average APY, max APY, TVL, chains supported, top pools. E.g. 'aave-v3' vs 'compound-v3'.

Part of the Yieldoracle server.

yield_compare 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 yield_compare to retrieve information from Yieldoracle 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 yield_compare 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": {
    "yield_compare": {}
  }
}

See the full Yieldoracle policy for all 8 tools.

Get this rule live on your own Yieldoracle 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 yield_compare 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 yield_compare 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 yield_compare tool do? +

Compare two protocols side by side — average APY, max APY, TVL, chains supported, top pools. E.g. 'aave-v3' vs 'compound-v3'.. It is categorised as a Read tool in the Yieldoracle MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on yield_compare? +

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

What risk level is yield_compare? +

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

Can I rate-limit yield_compare? +

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

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

yield_compare is provided by the Yieldoracle MCP server (https://tooloracle.io/yield/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Yieldoracle tool call.

Deterministic rules across all 8 Yieldoracle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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