Low Risk

system_reliability

Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work). Parallel = 1 − product(1−Rᵢ) (at least one works). Useful for back-of-envelope RBD calcs before reaching for full RBD tooling. For mixed-structure systems (...

Risk signalsAdmin/system-level operation

Part of the ReliaStats server.

system_reliability 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_reliability to retrieve information from ReliaStats 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_reliability 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_reliability": {}
  }
}

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Get this rule live on your own ReliaStats 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_reliability 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 system_reliability 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_reliability tool do? +

Given per-component reliabilities and a structure ('series' or 'parallel'), return the system reliability. Series = product (all must work). Parallel = 1 − product(1−Rᵢ) (at least one works). Useful for back-of-envelope RBD calcs before reaching for full RBD tooling. For mixed-structure systems (series with parallel sub-blocks), call this tool repeatedly on the sub-blocks. ANTI-FABRICATION: exact closed-form. Quote verbatim.. It is categorised as a Read tool in the ReliaStats MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on system_reliability? +

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

What risk level is system_reliability? +

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

Can I rate-limit system_reliability? +

Yes. Add a rate_limit block to the system_reliability 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_reliability completely? +

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

system_reliability is provided by the ReliaStats MCP server (https://reliastats.com/mcp/v1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ReliaStats tool call.

Deterministic rules across all 11 ReliaStats tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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