Low Risk

get_opt_result

Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every nume...

Risk signalsBulk/mass operation — affects multiple targets

Part of the SCModeling server.

get_opt_result 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 get_opt_result to retrieve information from SCModeling 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 get_opt_result 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": {
    "get_opt_result": {}
  }
}

See the full SCModeling policy for all 11 tools.

Get this rule live on your own SCModeling 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 get_opt_result 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 get_opt_result 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 get_opt_result tool do? +

Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric result is verbatim from the optimization engine that ran offline — quote them in your reply, do not round or recompute. Call describe_opt_demo first to learn valid scenario_key formats for each demo.. It is categorised as a Read tool in the SCModeling MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_opt_result? +

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

What risk level is get_opt_result? +

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

Can I rate-limit get_opt_result? +

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

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

get_opt_result is provided by the SCModeling MCP server (https://scmodeling.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 SCModeling tool call.

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

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