Agent permissions define what an AI agent can read, write, send, spend, delete, remember, or deploy. A useful permission plan is not a generic checklist. It maps each business workflow to the exact tools, data scopes, approval gates, and rollback paths the agent needs.
The Agent Permission Builder at /tools/agent-permission-builder/ helps teams create that first plan. This guide explains how to turn the generated output into a practical review process for MCP tools, coding agents, internal support agents, and production automation.
Use this guide with the Agent Security Guide, the MCP Security Audit workflow, and the Pro implementation checklists when you need a repeatable permission review instead of a one-off prompt.
Key takeaways
- Start with workflow actions, not model names: read, write, send, spend, delete, deploy, and remember.
- Split preview and commit steps so users can inspect risky actions before execution.
- Use Pro audit reports to turn free permission plans into repeatable acceptance evidence.
Map the agent workflow before granting tools
A permission review starts by describing the job the agent performs. Repo onboarding, PR review, customer support, QA, and marketing research all need different scopes. A coding agent may need repository read access and test execution, but not billing access. A support agent may need ticket read access and draft replies, but not refund execution without approval.
Write the workflow as a sequence of actions, then classify each action by authority. Reads are usually lower risk than writes. Drafts are lower risk than sends. Local previews are lower risk than production changes. The permission plan should make those differences visible.
- Read scope: files, issues, tickets, docs, analytics, or public URLs.
- Write scope: drafts, tickets, pull requests, config files, or memory records.
- External action scope: emails, webhooks, deployments, purchases, or account changes.
- Sensitive scope: secrets, customer data, billing, production systems, or durable memory.
Define approval gates by risk level
Approval gates should protect actions that create external, financial, destructive, or hard-to-reverse effects. If every action asks for approval, users stop reading. If no action asks for approval, the agent can create damage before monitoring catches it.
The practical pattern is to allow low-risk reads, require review for writes, and require stronger confirmation for destructive or production actions. The approval screen should show the destination, exact action, affected records, source evidence, expected cost, and rollback path.
- Low risk: read public docs, inspect selected files, format text, or draft notes.
- Medium risk: create drafts, open tickets, generate pull requests, or write temporary files.
- High risk: send messages, change records, modify production config, or spend money.
- Critical risk: delete data, rotate credentials, move funds, or grant new access.
Turn builder output into a Pro audit report
The free builder output is a starting point. A Pro audit report should add evidence: which tools were reviewed, which scopes were narrowed, which approval gates exist, which checks passed, and which risks remain before launch.
For teams, the report is useful because it becomes an artifact that product, engineering, security, and operations can all read. It should not expose secrets or tokens. It should describe scope boundaries and verification steps in plain language.
- List each tool, allowed action, denied action, and credential scope.
- Record the owner, review date, and next review trigger.
- Attach acceptance checks for prompt injection, wrong-tool use, and approval bypass attempts.
- Keep secrets out of reports; reference secret storage only as [REDACTED].
Implementation checklist
- Open the Agent Permission Builder and define the agent's job, tools, data, and actions.
- Classify actions into read, write, external, destructive, financial, production, and memory categories.
- Add approval gates for high-impact actions and preview/commit splits for writes.
- Convert the free output into a Pro audit report with owners, evidence, and acceptance checks.
- Re-run the review whenever tools, credentials, scopes, or production workflows change.
FAQ
What is an agent permission builder?
An agent permission builder is a tool for turning an AI agent workflow into scoped permissions, risk levels, approval gates, and review notes.
Is least privilege only a security concern?
No. Least privilege also improves reliability because narrower tools reduce wrong actions, unclear approvals, and unexpected workflow behavior.
Should agents get write access by default?
No. Start with read-only or draft-only access, then add explicit write tools with preview and approval steps when the workflow requires them.
What belongs in a Pro permission report?
A Pro report should include reviewed tools, allowed scopes, denied scopes, approval gates, risk notes, acceptance checks, owners, and review dates.