Simulate one or more transaction groups built from decoded transaction objects, with a full SimulateRequest config (allowEmptySignatures, allowMoreLogging, allowUnnamedResources, execTraceConfig, extraOpcodeBudget, round). Use this when you need execution traces, extra opcode budget, to simulate ...
AI agents invoke simulate_transactions to trigger actions in Algorand MCP. 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.
This tool executes transaction simulations on the Algorand blockchain with full configuration control including opcode budget manipulation, unsigned transaction simulation, and execution traces.
From the tool's definition Simulate one or more transaction groups built from decoded transaction objects, with a full SimulateRequest config (allowEmptySignatures, allowMoreLogging, allowUnnamedResources, execTraceConfig, extraOpcodeBudget, round).
Documented attack patterns abuse exactly the kind of access simulate_transactions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Algorand MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for simulate_transactions:
{
"version": "1",
"default": "deny",
"tools": {
"simulate_transactions": {
"limits": [
{
"counter": "simulate_transactions_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}simulate_transactions 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.
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Simulate one or more transaction groups built from decoded transaction objects, with a full SimulateRequest config (allowEmptySignatures, allowMoreLogging, allowUnnamedResources, execTraceConfig, extraOpcodeBudget, round). Use this when you need execution traces, extra opcode budget, to simulate unsigned txns, or to opt into Algorand v9+ simulate features. For a quick pass/fail check on pre-encoded bytes, use simulate_raw_transactions instead. It is categorised as a Execute tool in the Algorand MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Algorand MCP server in PolicyLayer and add a rule for simulate_transactions: 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 Algorand MCP. Nothing to install.
simulate_transactions is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the simulate_transactions 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.
Set action: deny in the PolicyLayer policy for simulate_transactions. 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.
simulate_transactions is provided by the Algorand MCP server (goplausible/algorand-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Algorand MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
172 Algorand MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.