The Plan Status Tracker Tool
Report and update progress against an agent’s plan — which steps are done, running, or blocked — so long tasks stay observable and a stalled agent surfaces instead of silently hanging.
Autonomous agents fail quietly
An agent that can act is only useful if it remembers, plans, and checks its own work. Without a cognitive core, agents forget context, skip steps, and state wrong answers with full confidence — and you find out too late.
No memory across runs
Agents start from zero every session, re-asking what they were already told.
Acting before thinking
Without an explicit plan, agents take the first path, not the right one.
Confident wrong answers
Nothing checks the output, so mistakes ship as if they were facts.
No accountability
When it goes wrong, there is no trace of why the agent did what it did.
Plan Status Tracker, without the risk
Capability
What it does
Track a plan step by step, to completion.
it reads and updates the status of each step in an agent’s plan, marking steps started, completed, or failed.
- Per-step status
- Durable across restarts
- Surfaces blocked steps
- Observable by humans
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
status is kept as durable structured state tied to the plan, so progress survives restarts and is visible to humans and other agents in real time.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
This tool runs inside your perimeter, scoped per user with full audit logging, so the agent’s reasoning, memory, and decisions stay private and accountable — never sent to a third-party service.
Per-tenant, logged
Parameters
The agent_plan_status tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Plan Status Tracker tool works in practice
Plan Status Tracker is an agent core & quality tool you assign to a VDF AI agent. It reads and updates the status of each step in an agent’s plan, marking steps started, completed, or failed. Its hallmarks — Status, Durable, 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 is kept as durable structured state tied to the plan, so progress survives restarts and is visible to humans and other agents in real time. It expects plan_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 Plan Status Tracker when they need to handle long-running tasks, stall detection, and progress reporting. It rarely works alone — pair it with Agent Planner, Checkpoint Save, and Workflow Status to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Plan Status Tracker pays back
Long-running tasks
See exactly where a multi-hour job stands.
Stall detection
Surface a step that has been stuck instead of hanging silently.
Progress reporting
Feed live status into a dashboard or Slack update.
Resumability
Know which steps are left after a restart.
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 Plan Status Tracker tool
What is the Plan Status Tracker tool?
It reads and updates the status of each step in an agent’s plan, marking steps started, completed, or failed. 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 plan does it track?
The plan produced by the agent planner tool; the two are designed to be used together.
Does status survive a crash?
Yes. Status is stored as durable state, so an agent can resume a plan exactly where it left off.
What inputs does the Plan Status Tracker tool need?
It requires plan_id, and optionally accepts step_id and status. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Plan Status Tracker?
Plan Status Tracker is commonly assigned alongside Agent Planner, Checkpoint Save, and Workflow Status. 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 Plan Status Tracker to work
See the Plan Status Tracker tool assigned to an agent and orchestrated in a governed, on-premise network.