Prepare a transaction to finalize an approved job. Anyone can call after the challenge period (1 day post-approval). Distributes payout to agent (80%), validators (8%), and protocol.
Part of the AGI Alpha server.
Free to start. No card required.
AI agents use finalize_job to initiate financial transactions through AGI Alpha. Financial operations involve real money and are irreversible once processed. PolicyLayer blocks financial tools by default, requiring explicit human approval with transaction-level limits to prevent unauthorised spending.
finalize_job moves real money. Without a policy, an autonomous agent could initiate transactions that drain accounts or exceed budgets. PolicyLayer blocks financial tools by default, requiring human-in-the-loop approval with configurable spending limits per transaction and per time window.
Financial tools involve real money. Block by default and require explicit human approval before enabling.
{
"version": "1",
"default": "deny",
"tools": {
"finalize_job": {
"deny_if": [
{
"conditions": [],
"on_deny": "Requires human approval."
}
]
}
}
}See the full AGI Alpha policy for all 17 tools.
These attack patterns abuse exactly the kind of access finalize_job gives an agent. Each links to the full case and the policy that stops it:
Other financial tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Prepare a transaction to finalize an approved job. Anyone can call after the challenge period (1 day post-approval). Distributes payout to agent (80%), validators (8%), and protocol.. It is categorised as a Financial tool in the AGI Alpha MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the AGI Alpha MCP server in PolicyLayer and add a rule for finalize_job: 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 AGI Alpha. Nothing to install.
finalize_job is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the finalize_job 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 finalize_job. 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.
finalize_job is provided by the AGI Alpha MCP server (https://agialpha.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 AGI Alpha 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.