Low Risk

system_status

Exchange status.

Risk signalsAdmin/system-level operation

Part of the Kraken server.

system_status 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 system_status to retrieve information from Kraken 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 system_status 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": {
    "system_status": {}
  }
}

See the full Kraken policy for all 29 tools.

Get this rule live on your own Kraken 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 system_status 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 system_status 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 system_status tool do? +

Exchange status.. It is categorised as a Read tool in the Kraken MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on system_status? +

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

What risk level is system_status? +

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

Can I rate-limit system_status? +

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

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

system_status is provided by the Kraken MCP server (https://gateway.pipeworx.io/kraken/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kraken tool call.

Deterministic rules across all 29 Kraken 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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