eval_program · LODA API MCP Server MCP: Risk & Policy

WHAT IT DOES

What eval_program does on LODA API MCP Server

AI agents invoke eval_program to trigger actions in LODA API MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why eval_program needs a policy

This tool executes arbitrary user-supplied LODA assembly programs. Even though the intent is mathematical computation, executing arbitrary code from user input carries significant risk of misuse (e.g., infinite loops, resource exhaustion, or unintended side effects depending on the LODA runtime environment). It falls squarely in the Execute category, with high severity due to the arbitrary-code-execution nature.

From the tool's definition 'Evaluate a LODA program to generate the corresponding integer sequence' — the tool runs arbitrary LODA assembly language code supplied by the caller

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

eval_program Rate-limited

eval_program stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "eval_program": {
      "limits": [
        {
          "counter": "eval_program_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches LODA API MCP Server, so you can run agents against it safely.

FAQ

Questions about eval_program

What does the eval_program tool do? +

Evaluate a LODA program to generate the corresponding integer sequence. The request body should contain the program code in plain text format. Optionally specify the number of terms and offset. It is categorised as a Execute tool in the LODA API MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on eval_program? +

Register the LODA API MCP Server MCP server in PolicyLayer and add a rule for eval_program: 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 LODA API MCP Server. Nothing to install.

What risk level is eval_program? +

eval_program is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit eval_program? +

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

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

eval_program is provided by the LODA API MCP Server MCP server (loda-lang/loda-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.