AI agents invoke deployToken to trigger actions in Remote Mcp Authless. 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.
While token deployment itself is not necessarily financial (no direct fund movement), it involves executing code on a blockchain that creates a new contract. This is Execute rather than Write because: (1) it triggers an external operation (blockchain deployment) whose effects depend on transaction arguments and network state; (2) the operation is complex and has broad consequences (creating a new asset contract);…
From the tool's definition Tool name 'deployToken' with description 'Deploy a new token contract' indicates execution of smart contract deployment, which is an irreversible blockchain operation with external effects.
Documented attack patterns abuse exactly the kind of access deployToken gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Remote Mcp Authless, and nothing reaches the server without passing your rules. This is the rule we recommend for deployToken:
{
"version": "1",
"default": "deny",
"tools": {
"deployToken": {
"limits": [
{
"counter": "deploytoken_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}deployToken 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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Deploy a new token contract. It is categorised as a Execute tool in the Remote Mcp Authless MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Remote Mcp Authless MCP server in PolicyLayer and add a rule for deployToken: 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 Remote Mcp Authless. Nothing to install.
deployToken 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 deployToken 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 deployToken. 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.
deployToken is provided by the Remote Mcp Authless MCP server (kalepail/stellar-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Remote Mcp Authless, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Remote Mcp Authless tools catalogued and risk-classified — across an index of 43,000+ MCP servers.