Low Risk

stats_normal-distribution

Normal distribution: CDF, PDF, quantile, and confidence intervals. Use when computing normal distribution CDF, PDF, quantiles, or confidence intervals. Provide x (for CDF/PDF), p (for quantile), or confidence_level (for interval), with optional mean and std. Returns: CDF probability, PDF density,...

Part of the Quantoracle server.

stats_normal-distribution 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 stats_normal-distribution to retrieve information from Quantoracle 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 stats_normal-distribution 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": {
    "stats_normal-distribution": {}
  }
}

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These attack patterns abuse exactly the kind of access stats_normal-distribution 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 stats_normal-distribution 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 stats_normal-distribution tool do? +

Normal distribution: CDF, PDF, quantile, and confidence intervals. Use when computing normal distribution CDF, PDF, quantiles, or confidence intervals. Provide x (for CDF/PDF), p (for quantile), or confidence_level (for interval), with optional mean and std. Returns: CDF probability, PDF density, z-score, quantile value, and/or confidence interval bounds.. It is categorised as a Read tool in the Quantoracle MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stats_normal-distribution? +

Register the Quantoracle MCP server in PolicyLayer and add a rule for stats_normal-distribution: 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 Quantoracle. Nothing to install.

What risk level is stats_normal-distribution? +

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

Can I rate-limit stats_normal-distribution? +

Yes. Add a rate_limit block to the stats_normal-distribution 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 stats_normal-distribution completely? +

Set action: deny in the PolicyLayer policy for stats_normal-distribution. 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 stats_normal-distribution? +

stats_normal-distribution is provided by the Quantoracle MCP server (QuantOracle/quantoracle). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Quantoracle tool call.

Deterministic rules across all 74 Quantoracle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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