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AI Agent Tool Permission Architect
Design least-privilege tool access for AI agents with permission tiers, approval gates, financial limits, data boundaries, retry safety, and prohibited-action rules.
$5
AI Agent Tool Permission Architect
Example session with this skill installed
Design a permission architecture for a Slack-based support agent that needs to check order status in Shopify and occasionally issue small refunds under $20. Any higher refunds need a manager.
- Read your context and instructions
- Compiled the ai agent tool
The following architecture isolates the support agent's authority, moving from broad Shopify access to a validated, least-privilege model with explicit financial gating.
AI Agent Tool Permission Architecture
Executive Assessment
The primary risk is the agent's ability to issue unauthorized refunds or exfiltrate customer PII. The design below mitigates this by splitting the Shopify tool into discrete actions and implementing a hard financial threshold for autonomous operations.
Tool Authority Matrix
| Tool | Action | Data | Risk | Authority | Approval |
|---|---|---|---|---|---|
| Shopify API | get_order_details | Order ID, Items, Total | READ_ONLY | AUTONOMOUS | None |
| Shopify API | check_refund_status | Refund History | READ_ONLY | AUTONOMOUS | None |
| Shopify API | issue_refund | Order ID, Amount, Reason | FINANCIAL | LIMITED | HITL > $20 |
| Slack API | send_message | Channel ID, Text | EXTERNAL | LIMITED | Autonomous |
Financial & High-Impact Controls
- Refund Threshold: The agent is granted
AUTONOMOUSstatus for refunds whereamount <= 20.00.
Escalation: If amount > 20.00, the status shifts to HUMAN_APPROVAL_REQUIRED. The agent must prepare the refund draft but cannot execute the issue_refund call.
- Verification: The agent must verify
order_status == 'delivered'before initiating any refund process.
Data Boundaries
- Read Access: Limited to
order_name,line_items, andfinancial_status. - Prohibited Data: The agent must not have access to
customer_payment_methodsor rawcredit_card_vaulttokens.
Retry & Idempotency
Idempotency Key: Every issue_refund call must include a unique order_id + transaction_timestamp hash to prevent duplicate billing in case of Slack timeout or agent retry.
Next steps
- Implement a middleware proxy that validates the refund amount before passing the request to the Shopify API.
- Configure the Slack integration to use a scoped User Token rather than a workspace-wide Admin Token.
- Establish a
pending_approvalsdatabase table for refunds exceeding the $20 threshold.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
AI Agent Tool Permission Architect helps teams define exactly what an AI agent should be allowed to read, write, execute, modify, communicate, or approve before connecting it to real business systems.
AI agents increasingly interact with CRMs, email, support platforms, payment systems, databases, cloud services, internal files, APIs, and administrative tools.
The problem is that tool access is often granted too broadly.
An agent that only needs to look up an account may receive permission to modify it.
An agent that only needs to draft a refund recommendation may receive permission to execute refunds.
An agent that only needs selected customer data may receive unrestricted access to an entire database.
This skill converts agent roles, workflows, tools, APIs, data sources, and business rules into a structured least-privilege permission architecture.
It can analyze:
• AI agent roles • Tool inventories • APIs • CRM permissions • Email tools • Payment and refund systems • Subscription systems • Databases • File access • Internal knowledge systems • Slack and messaging tools • Cloud infrastructure tools • Administrative actions • Multi-agent workflows • Human approval processes
Each tool can be classified by:
• Read access • Write access • External communication • Financial impact • Sensitive-data exposure • Destructive capability • Administrative privilege • Reversibility • Side-effect risk • Human approval requirement
The skill then recommends whether an action should be:
AUTONOMOUS
ALLOWED WITH VALIDATION
ALLOWED WITH LIMITS
HUMAN APPROVAL REQUIRED
READ ONLY
PROHIBITED
It can also define amount thresholds, confirmation requirements, retry rules, idempotency requirements, account scopes, field-level data restrictions, approval gates, escalation logic, credential boundaries, and audit requirements.
The final deliverable can include a Tool Authority Matrix, least-privilege plan, excessive-permission findings, human approval map, high-risk tool controls, sensitive-data boundaries, side-effect protections, retry and duplicate-action safeguards, and implementation-ready permission policy.
Designed for enterprise AI teams, developers, automation agencies, security teams, operations teams, product teams, and companies deploying tool-enabled AI agents into production workflows.
AI Agent Tool Permission Architect provides permission-design and governance guidance. It does not automatically configure production IAM systems, rotate credentials, deploy access policies, or guarantee security.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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