Definition
Capability scoping
Capability scoping is restricting an AI agent to a defined set of tools and permissions for a given task or session, so it can only do what that role requires — and nothing more. It applies least-privilege to agents: a triage agent gets triage tools, a drafting agent gets drafting tools, and neither can reach destructive operations outside its scope, whatever a prompt might ask of it.
Key takeaways
- Capability scoping restricts an agent to a defined set of tools and permissions for a task or session.
- It applies least-privilege to agents — each role gets only the tools its job requires, enforced at runtime.
- It composes with action gating: scope decides which tools exist, the gate decides which need approval.
- Planoda clamps allowed tools to the registry and denies out-of-scope or destructive calls a structured result.
An agent's danger is proportional to its reach. Capability scoping shrinks that reach to fit the job: a session, skill, or role declares the specific tools the agent may call, and the runtime enforces it, refusing any call outside the set. This is the agent analog of least-privilege access — the same principle that says a service account should hold only the permissions its function needs, applied to what a model is allowed to invoke.
Scoping composes with action gating to form a two-layer defense. The scope decides which tools exist for this agent at all; the gate decides which of those tools require approval to run. Together they mean a misbehaving or manipulated agent is bounded twice — it can't reach a tool outside its scope, and even within scope it can't execute a destructive one without a checkpoint.
Planoda scopes agent capability through its skills and session model — allowed tools are clamped to the real tool registry and a session lacking destructive capability is denied a gated call with a structured approval-required result — so an agent's power is shaped to its role, not granted wholesale.
Related terms
- Principle of Least PrivilegeThe principle of least privilege holds that every user, service, or process should be granted only the minimum permissions needed to do its job — and nothing more. By default-denying access and granting narrowly, you shrink the attack surface: a compromised account or buggy component can only reach what it was explicitly allowed, limiting the blast radius of any failure.
- Tool registryA tool registry is the single, authoritative catalog of the actions an AI agent may call, with each tool's name, typed arguments, and risk classification declared in one place. It is the source of truth a governance broker consults to decide whether a call is safe to run or must be gated — so capability and destructiveness are properties of the registry, not scattered per-caller decisions.
- Agent governanceAgent governance is the set of controls that make an AI agent's actions safe, attributable, and reviewable: human approval gates on consequential actions, an immutable audit trail of who approved what, role-based capability limits, and spend controls. It is the difference between an agent that suggests and one you can trust to act.
- Agent skillAn agent skill is a reusable, named agent capability: a packaged workflow with a description, a system prompt, an allowed set of tools, and triggers that decide when it runs. Instead of re-explaining a task every time, you define the skill once and the agent applies it on demand — turning ad-hoc prompting into a library of repeatable, governed capabilities.
- RBAC (Role-Based Access Control)Role-based access control (RBAC) governs what users can do by assigning them roles — such as admin, member, or viewer — that carry defined permissions, rather than granting rights to each person individually. It scales access management: change a role's permissions once and every user with that role updates, and onboarding becomes assigning a role, not wiring up dozens of grants.