This record as markdown: /tools/advaitgore-agent-payment/create-agent.md
What create_agent does on AgentPay
AI agents use create_agent to create or update resources in AgentPay, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AgentPay environment.
Why create_agent is rated Medium
This tool creates a new agent account/identity on a financial authorization system. While not immediately destructive or moving funds itself, creating agents on a spending authorization platform is a write operation with high severity due to the financial exposure it enables—a newly created agent could be used to establish unauthorized spending mandates or circumvent controls.
From the tool's definition Tool name 'create_agent' and server context (AgentPay authorization layer) indicate creation of a new agent entity. Server description emphasizes financial spending controls and real-money transaction authorization.
Attacks that exploit this kind of access
The rule that runs create_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AgentPay, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_agent, this is the rule to start with:
create_agent stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AgentPay, apply this rule, and every create_agent call is checked against it from then on.
Questions about create_agent
create_agent is a write tool on the AgentPay MCP server. It is categorised as a Write tool in the AgentPay MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AgentPay MCP server in PolicyLayer and add a rule for create_agent: 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 AgentPay. Nothing to install.
create_agent is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_agent 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 create_agent. 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.
create_agent is provided by the AgentPay MCP server (advaitgore/agent_payment). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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