The Workflow Status Tool
Check the status of a workflow run — which steps are done, running, or failed — so an agent and your team can see progress, catch stalls, and act on the result.
A one-shot agent isn’t automation
Real automation runs on a schedule, coordinates steps, retries on failure, and reports what happened. Without scheduling, triggering, retries, and notifications, an agent is a demo you have to babysit — not a system you can depend on.
Manual triggering
Someone has to kick off every run by hand.
Silent failures
A failed step stalls the whole job with no alert.
No retries
A transient error kills work that should have recovered.
No visibility
You can’t see what ran, when, or with what result.
Workflow Status, without the risk
Capability
What it does
Track a running workflow to completion.
it returns the status of a workflow run, including per-step progress and any failures.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
status reads durable run state inside your perimeter, so progress is observable in real time and a failed step surfaces instead of stalling silently.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
Scheduling, triggering, and reporting run inside your perimeter with every job observable and logged, so recurring automation is reliable and auditable — the plumbing that lets a governed network run on its own.
Per-tenant, logged
Parameters
The workflow_status tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Workflow Status tool works in practice
Workflow Status is a workflow & automation tool you assign to a VDF AI agent. It returns the status of a workflow run, including per-step progress and any failures. Its hallmarks — Status, Progress, Observable — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, status reads durable run state inside your perimeter, so progress is observable in real time and a failed step surfaces instead of stalling silently. It expects run_id as required input, 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 Workflow Status when they need to handle progress, stall detection, and gating. It rarely works alone — pair it with Workflow Trigger, Retry Job, and Cancel Job to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Workflow Status pays back
Progress
See where a running workflow stands.
Stall detection
Catch a stuck step early.
Gating
Wait for completion before the next action.
Reporting
Surface run status to stakeholders.
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 Workflow Status tool
What is the Workflow Status tool?
It returns the status of a workflow run, including per-step progress and any failures. 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 show?
Per-step progress and any failures for the run, in real time.
Can an agent wait on it?
Yes. An agent can poll status and proceed only when the run completes.
What inputs does the Workflow Status tool need?
It requires run_id. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Workflow Status?
Workflow Status is commonly assigned alongside Workflow Trigger, Retry Job, and Cancel Job. 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.
Tools that work well alongside this one
Where this tool delivers value
Put Workflow Status to work
See the Workflow Status tool assigned to an agent and orchestrated in a governed, on-premise network.