The Permission Check Tool
Check whether an agent is permitted to take a specific action on a resource before it acts so autonomy stays inside policy — enforcing least privilege at the moment of the call.
Autonomy without guardrails is a liability
An agent that can act can also leak PII, expose a secret, exceed permissions, or run up cost — silently. Putting agents in production means baking in detection, redaction, permission checks, and traceability, or the first incident ends the program.
Data leakage
PII and secrets slip into prompts, logs, and outputs.
Over-permissioned
Agents act beyond what their role should allow.
No accountability
Without a trace, you can’t explain what an agent did or why.
Runaway cost
Unbounded tool use burns budget with no early warning.
Permission Check, without the risk
Capability
What it does
Verify an action is allowed before it runs.
it checks whether an agent identity is permitted to perform an action on a resource.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
checks evaluate your role-based policy inside your perimeter and return an allow/deny with the reason, so an agent enforces least privilege at call time rather than after the fact.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
These controls run inside your perimeter and feed a single audit trail, so detection, redaction, permission checks, and cost limits are enforced locally — the governance layer that makes agent autonomy defensible to security and compliance.
Per-tenant, logged
Parameters
The permission_check tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Permission Check tool works in practice
Permission Check is a security, governance & ops tool you assign to a VDF AI agent. It checks whether an agent identity is permitted to perform an action on a resource. Its hallmarks — Authorize, RBAC, Least-privilege — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, checks evaluate your role-based policy inside your perimeter and return an allow/deny with the reason, so an agent enforces least privilege at call time rather than after the fact. It expects action and resource as required inputs, so calls are explicit and easy to audit. Every call is scoped to the requesting tenant and written to an audit log, so the capability is safe to run inside a regulated, on-premise environment — the same governance model behind every VDF AI tool.
Teams reach for Permission Check when they need to handle gate actions, least privilege, and safe delegation. It rarely works alone — pair it with Human Approval Request, Audit Trail Query, and Secrets Scan to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Permission Check pays back
Gate actions
Confirm an agent may write before it does.
Least privilege
Enforce role boundaries at call time.
Safe delegation
Check a sub-agent’s scope before handing off.
Defense in depth
Add an authorization layer inside workflows.
Assigned to agents, orchestrated as networks
On VDF AI, an industry’s use cases map to agents, and you assign tools like this one to those agents. Compose multiple agents into a governed, on-premise network.
What changes after you assign it
Questions about the Permission Check tool
What is the Permission Check tool?
It checks whether an agent identity is permitted to perform an action on a resource. Assigned to a VDF AI agent, it runs under role-based policy with full audit logging so the capability is safe to use in production.
What does it return?
An allow or deny decision with the policy reason, so an agent can proceed or stop with a clear rationale.
Where is policy evaluated?
Inside your perimeter against your role-based access rules, and the check is logged.
What inputs does the Permission Check tool need?
It requires action and resource, and optionally accepts user_id. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Permission Check?
Permission Check is commonly assigned alongside Human Approval Request, Audit Trail Query, and Secrets Scan. On VDF AI you compose several tools and agents into a single governed, on-premise network.
Does it run on-premise?
Yes. Like every VDF AI tool, it can run on-premise or in your sovereign cloud, scoped per user and audit-logged, so your data never leaves your perimeter.
How do agents use it?
You assign the tool to an agent under a role-based policy; the agent calls it as one step in a task, and several agents and tools can be orchestrated together as a governed VDF AI Network.
Assign Permission Check to these agents
These VDF AI agents can be assigned this tool. Open an agent to see the full toolkit it can run.
Tools that work well alongside this one
Where this tool delivers value
Put Permission Check to work
See the Permission Check tool assigned to an agent and orchestrated in a governed, on-premise network.