AI Agent Harness Security Checklist: Permissions, Tools, Memory, and Payments

Start with the authority model

Agent security starts with a simple question: what is this agent allowed to decide without a human? If the answer is vague, the system is not ready for business operations.

Separate read, draft, write, publish, send, connect, and spend permissions. Most workflows can begin with read and draft access only.

Secure the tool layer

Every MCP server or tool adapter should be scoped to the smallest useful set of actions. Avoid broad admin tools when the agent only needs one report, one form, or one product lookup.

Tool descriptions are part of the security surface. If an agent trusts a misleading description, it may use the wrong tool or combine tools in unsafe ways.

Protect memory and handoff

Memory should store durable business facts, not secrets. Credentials, payment data, private customer details, and one-time tokens should stay in secure systems, not agent notes.

Every handoff should include assumptions, inputs used, actions taken, approvals needed, and open risks. That audit trail is what turns agent work into accountable operations.

Payments require explicit mandates

If an agent can purchase or prepare checkout, the mandate should define the product, merchant, maximum price, payment method, refund policy, and whether final payment requires human confirmation.

For ClawCurrent, buyer approval gates remain mandatory before spending money, changing budgets, or connecting accounts with write access.

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