Agent Permission Builder
Build a least-privilege permission policy for AI agents, MCP servers, browser tools, file access, shell commands, and external APIs. Runs locally in your browser.
Free builder
Define the agent boundary
Tool access
Data access
Policy risk
Medium · 44/100
Generated permission policy
# Support Reply Agent Permission Policy Purpose: Draft customer replies, search help docs, and suggest safe refunds under policy. Risk level: Medium (44/100) Allowed capabilities: - External APIs: allow only task-scoped operations - MCP tools: allow only task-scoped operations Data boundaries: - User profile: read only the minimum fields needed for the current task - Customer records: read only the minimum fields needed for the current task - Internal docs: read only the minimum fields needed for the current task Autonomy mode: reviewed Approval gates: - Require human approval before irreversible external actions. - Log every tool call with actor, input summary, output summary, and timestamp. Default denies: - No credential exposure in prompts or logs - No broad filesystem access - No production mutation without an approval gate - No cross-customer data access - No network calls outside the allowlist Launch checklist: - Test prompt injection attempts before release - Verify logs do not store secrets - Add rate limits and rollback controls - Review permissions after each new tool integration
Pro lead magnet
Export this as a compliance-ready permission audit
The free builder creates the policy draft. Pro turns it into an audit checklist with owners, reviewed scopes, approval evidence, launch risks, and next-review dates.
- ✓ Reviewed tool and credential scope table
- ✓ Approval-gate checklist for risky actions
- ✓ Prompt-injection and bypass test prompts
- ✓ Evidence format for security review handoff
Turn broad tool access into scoped allowlists and default-deny rules.
Generate approval gates for shell, payment, database, and MCP actions.
Create a policy artifact founders and developers can review before launch.
FAQ
What is an agent permission policy?
An agent permission policy defines what tools, files, APIs, and data an AI agent can access, plus which actions require human approval.
Does this tool connect to my infrastructure?
No. It generates a planning policy in the browser and does not call a backend or store your input.
Why use least privilege for AI agents?
Least privilege reduces blast radius when prompts are wrong, tools are misconfigured, or a prompt injection tries to trigger unsafe actions.
Can I use this for MCP servers?
Yes. The output includes MCP tool boundaries, approval gates, and audit checkpoints that fit Claude Desktop, Cursor, and custom agent stacks.
Is the generated policy production-ready?
It is a strong draft for review. Production teams should map it to real IAM, network, logging, and human approval controls.
What is the paid upgrade?
Pro unlocks production rollout packs and templates for MCP configuration, access boundaries, and launch safety workflows.