Start enrollment with a specific utility provider at a Texas address — use after the user has chosen a plan and confirmed they want to sign up. Use when the user says 'go ahead and sign me up', 'enroll me with this plan for my move-in day', or 'lock in this rate for my new San Antonio apartment'....
Risk signalsHigh parameter count (10 properties)
Part of the Utilify server.
Free to start. No card required.
AI agents invoke initiate_signup to trigger processes or run actions in Utilify. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
initiate_signup can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"initiate_signup": {
"limits": [
{
"counter": "initiate_signup_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Utilify policy for all 8 tools.
These attack patterns abuse exactly the kind of access initiate_signup gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Start enrollment with a specific utility provider at a Texas address — use after the user has chosen a plan and confirmed they want to sign up. Use when the user says 'go ahead and sign me up', 'enroll me with this plan for my move-in day', or 'lock in this rate for my new San Antonio apartment'. Returns a signup URL, phone number, or begins API enrollment and produces a signup_id for later status checks (track with check_signup_status). Caveats: (1) user-initiated only — always confirm the plan, address, and move-in date in the conversation before calling. (2) If the chosen provider doesn't serve the address's TDU it will return a structured error; re-run search_utility_providers to get TDU-correct options. (3) If the user wants Utilify to handle enrollment for them rather than self-serving, point them to the $49 concierge at https://utilify.io/concierge instead of calling this tool.. It is categorised as a Execute tool in the Utilify MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Utilify MCP server in PolicyLayer and add a rule for initiate_signup: 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 Utilify. Nothing to install.
initiate_signup 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 initiate_signup 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 initiate_signup. 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.
initiate_signup is provided by the Utilify MCP server (https://utilify.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Utilify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.