The Git Create Issue Tool
Create an issue in the repository’s tracker with a title, body, and labels so an agent can capture a bug, follow-up, or TODO as tracked work instead of losing it in a reply.
A suggestion isn’t a shipped change
An agent that can only propose code still leaves all the work to a human. To actually deliver, it needs a real, governed workspace where it can run code, edit files, test, and use Git — safely, and without touching anything you didn’t allow.
Read-only agents
Suggestions still require a human to run, test, and commit everything.
Unsafe execution
Running agent-generated code on real infrastructure is a security risk.
No verification
Without tests and builds, an agent can’t know its change works.
Ungoverned Git
Direct repo access with no policy or audit is a non-starter in the enterprise.
Git Create Issue, without the risk
Capability
What it does
File a tracked issue straight from the workspace.
it creates a tracked issue for the repository with a title, description, and labels.
Assignable to any agent
How it works
Predictable, inspectable behavior
Designed to be reliable.
the issue is created under the agent identity and logged, so follow-ups an agent spots become tracked, assignable work rather than throwaway text.
Every call logged
Governance
Private, governed, on-premise
Runs inside your perimeter.
Execution runs in an isolated, on-premise sandbox scoped per tenant with full command and file audit logging, so an agent can do real work on your code without unsafe access or anything leaving your perimeter.
Per-tenant, logged
Parameters
The git_create_issue tool accepts these inputs when an agent calls it. Required inputs are flagged.
How the Git Create Issue tool works in practice
Git Create Issue is a code execution & workspace tool you assign to a VDF AI agent. It creates a tracked issue for the repository with a title, description, and labels. Its hallmarks — Issue, Track, Labels — let an agent rely on it as a dependable step in a larger task rather than a brittle one-off script.
Under the hood, the issue is created under the agent identity and logged, so follow-ups an agent spots become tracked, assignable work rather than throwaway text. It expects title 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 Git Create Issue when they need to handle capture follow-ups, bug reports, and backlog. It rarely works alone — pair it with Git Add Comment, Git Create Pull Request, and GitHub Create Issue to build a complete, governed workflow, then compose those steps into an on-premise VDF AI Network.
Where Git Create Issue pays back
Capture follow-ups
File the TODO an agent found while working.
Bug reports
Turn a discovered defect into a tracked issue.
Backlog
Record ideas and debt as issues, not comments.
Triage
Label and route issues automatically.
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 Git Create Issue tool
What is the Git Create Issue tool?
It creates a tracked issue for the repository with a title, description, and labels. 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.
Who is the issue attributed to?
The governed agent identity, so it’s clear which items an agent raised.
Can it label the issue?
Yes. Provide labels to categorize and route the issue on creation.
What inputs does the Git Create Issue tool need?
It requires title, and optionally accepts body and labels. Each parameter is validated when an agent calls the tool, and the full call is logged for audit.
Which tools pair well with Git Create Issue?
Git Create Issue is commonly assigned alongside Git Add Comment, Git Create Pull Request, and GitHub Create Issue. 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 Git Create Issue 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 Git Create Issue to work
See the Git Create Issue tool assigned to an agent and orchestrated in a governed, on-premise network.