Low Risk

find_bottleneck

Single Run bottleneck analysis for the selected chapter — which node has the worst availability, per-interrupt downtime split, throughput, OEE. All eight chapters return verified dys-cli sales-prototype numbers. ANTI-FABRICATION: numbers in the response are canonical reference values from real dy...

Part of the ReliaSim server.

find_bottleneck 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 find_bottleneck to retrieve information from ReliaSim 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 find_bottleneck 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": {
    "find_bottleneck": {}
  }
}

See the full ReliaSim policy for all 7 tools.

Get this rule live on your own ReliaSim 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 find_bottleneck 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 find_bottleneck 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 find_bottleneck tool do? +

Single Run bottleneck analysis for the selected chapter — which node has the worst availability, per-interrupt downtime split, throughput, OEE. All eight chapters return verified dys-cli sales-prototype numbers. ANTI-FABRICATION: numbers in the response are canonical reference values from real dys-cli engine runs. Quote them VERBATIM. Do not round, estimate, or recall from training data. For follow-ups about the same chapter, re-call this tool.. It is categorised as a Read tool in the ReliaSim MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_bottleneck? +

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

What risk level is find_bottleneck? +

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

Can I rate-limit find_bottleneck? +

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

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

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

Enforce policy on every ReliaSim tool call.

Deterministic rules across all 7 ReliaSim tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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