Submit signed transactions to the Algorand network
AI agents invoke send_raw_transaction 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 submits pre-signed transactions to the blockchain network. While the transactions are already signed (so auth is handled), executing them triggers irreversible on-chain state changes (transfers, contract calls, etc.).
From the tool's definition Submit signed transactions to the Algorand network
Documented attack patterns abuse exactly the kind of access send_raw_transaction 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 send_raw_transaction:
{
"version": "1",
"default": "deny",
"tools": {
"send_raw_transaction": {
"limits": [
{
"counter": "send_raw_transaction_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} send_raw_transaction 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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Submit signed transactions to the Algorand network. 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 send_raw_transaction: 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.
send_raw_transaction 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 send_raw_transaction 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 send_raw_transaction. 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.
send_raw_transaction 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.
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172 Algorand MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.