Low Risk

clicks_simulate_split

Preview how a USDC payment would be split for an agent: how much goes to wallet (liquid) and how much to DeFi yield.

Part of the Clicks Protocol server.

clicks_simulate_split 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 clicks_simulate_split to retrieve information from Clicks Protocol 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 clicks_simulate_split 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": {
    "clicks_simulate_split": {}
  }
}

See the full Clicks Protocol policy for all 4 tools.

Get this rule live on your own Clicks Protocol 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 clicks_simulate_split 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 clicks_simulate_split 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 clicks_simulate_split tool do? +

Preview how a USDC payment would be split for an agent: how much goes to wallet (liquid) and how much to DeFi yield.. It is categorised as a Read tool in the Clicks Protocol MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on clicks_simulate_split? +

Register the Clicks Protocol MCP server in PolicyLayer and add a rule for clicks_simulate_split: 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 Clicks Protocol. Nothing to install.

What risk level is clicks_simulate_split? +

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

Can I rate-limit clicks_simulate_split? +

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

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

clicks_simulate_split is provided by the Clicks Protocol MCP server (dev-bd37/clicks-protocol). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Clicks Protocol tool call.

Deterministic rules across all 4 Clicks Protocol tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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