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 MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

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.

quantoracle-quantoracle.yaml
tools:
  stats_normal-distribution:
    rules:
      - action: allow

See the full Quantoracle policy for all 74 tools.

Tool Name stats_normal-distribution
Category Read
Risk Level Low

View all 74 tools →

Agents calling read-class tools like stats_normal-distribution have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

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? +

Add a rule in your Intercept YAML policy under the tools section for stats_normal-distribution. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Quantoracle MCP server.

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 Intercept 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 Intercept 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). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Quantoracle

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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