The Agent Planner Tool
Turn a goal into an explicit, ordered plan of steps and tool calls the agent commits to before execution — so it takes the right path, not just the first one, and you can see the plan before it runs.
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.
Agent Planner, without the risk
Capability
What it does
Make agents plan the steps before they act.
it decomposes a goal into an explicit, ordered plan of steps the agent will follow.
- Goal → ordered steps
- Inspectable before execution
- Reviewable and approvable
- Trackable to completion
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
the plan is produced as inspectable structured output before any action, so a human or a policy can review or approve it, and progress can be tracked against it.
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 tool accepts these inputs when an agent calls it. Required inputs are flagged.
default: 10 Optional Upper bound on the number of steps.
Where Agent Planner pays back
Complex tasks
Break a multi-step objective into a plan before touching a single tool.
Reviewable autonomy
Let a human approve the plan before the agent executes it.
Deterministic runs
Give an agent a stable path instead of improvising each time.
Network orchestration
Plan which agents and tools a network will use, in order.
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 Agent Planner tool
What is the Agent Planner tool?
It decomposes a goal into an explicit, ordered plan of steps the agent will follow. 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.
Can a human approve the plan first?
Yes. Pair it with the human approval request tool to gate execution on a person reviewing the plan.
How is progress tracked?
Use the agent plan status tool to mark steps started, done, or failed against the plan this tool produced.
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 Agent Planner to work
See the Agent Planner tool assigned to an agent and orchestrated in a governed, on-premise network.