AI Agent Delegation: How Authority Should Flow from Humans to Agents, Agents, and Tools

Autonomous AI systems increasingly operate through chains such as Human -> Agent -> Agent -> Tool. That creates a question traditional authentication cannot answer by itself: where did the authority for the final action come from?

Delegation should be explicit, attributable, bounded, inspectable, revocable, auditable and, where appropriate, time-limited.

The central rule is simple: delegated authority should never become broader simply because it moved further down an agent chain.

AIP provides an architecture for connecting the original principal, delegating agent, receiving agent, approved purpose, maximum authority, expiry, onward-delegation rights and audit chain.

The first generation of enterprise AI agents often looked like isolated assistants. The emerging architecture is different. Agents can coordinate with specialized sub-agents, external agents, MCP tools, business applications, APIs, and workflow engines.

Communication between those systems is only part of the problem. The harder security question is what authority is moving with the task.

If a human asks a procurement agent to find a supplier, and that agent asks another agent to obtain pricing, and the second agent calls an enterprise procurement tool, the final action should still be explainable in terms of the original authority.

A typical chain could look like Human procurement manager -> Procurement Agent AID-2001 -> Supplier Research Agent AID-2112 -> MCP procurement tool -> Enterprise supplier application.

Each boundary raises a different question. Did the human authorize Procurement Agent A to act? Could Agent A delegate work? What exactly could Agent A delegate? Was Research Agent B permitted to use the MCP tool? Could B make a purchase? Should B have the same authority as A?

These questions belong to authorization and governance, not merely communication.

Delegated authority is bounded permission to act derived from another principal. A principal might be a human, an organization, an approved system, or another autonomous agent.

Delegated authority should specify what the recipient is actually allowed to do.

A robust delegation record should include delegating principal, receiving Agent ID, purpose, permitted scope, tools, actions, data boundaries, expiration, approval status, onward-delegation rights, and a delegation or correlation identifier.

These concepts are related, but different. Task delegation describes work. Authentication proves identity. Authorization determines access. Delegated authority explains where the authority came from and what its boundaries are.

Every autonomous action should be traceable through the chain. A procurement director can authorize a procurement workflow, that authority can flow to Procurement Agent AID-2001, then to Supplier Research Agent AID-2112, and then to an approved supplier database query.

That creates an attributable chain rather than a collection of disconnected API calls.

One of the most important principles for multi-agent security is authority attenuation. Delegated authority should never become broader simply because it moved further down an agent chain.

If a parent agent has the authority to research suppliers, prepare purchase orders up to a threshold, and submit them for human approval, a downstream research agent should not automatically receive purchase authority or every tool the parent can access.

The child should receive only the narrower authority required for its delegated task.

Can Agent B delegate to Agent C? Sometimes yes, but onward delegation should be explicit.

Useful policy fields include whether onward delegation is allowed, maximum depth, whether purpose preservation is required, whether scope attenuation is required, whether human approval is optional or required, and whether expiry is inherited or shortened.

If onward delegation is prohibited, the receiving agent should not be able to create a more powerful downstream workflow. If it is permitted, the resulting authority should remain bounded by the parent delegation.

Agent-to-agent protocols are important for interoperability, but message exchange and authority governance are separate concerns.

The enterprise still needs to decide whether the other agent is trusted, which authority may be delegated, how that authority is represented, how long it remains valid, and whether further delegation is allowed.

The same applies to MCP. OAuth can determine whether the client can access the resource, while agent governance determines whether using that resource for this particular autonomous task is inside the agent's authority.

Delegation becomes even more sensitive when it crosses an organizational boundary. Cross-organization delegation needs additional context such as owning organization, identity issuer, external-agent identity, approved purpose, scope, expiration, allowed counterparties, and evidence expectations.

Before a delegated action executes, a runtime policy layer may ask whether the receiving agent is active, whether the delegation is still valid, whether the purpose is consistent, whether the tool and data are permitted, whether the authority expired, whether onward delegation is allowed, and whether the action requires human approval.

Delegation must also be revocable. Parent revocation, child revocation, expiry, credential invalidation, and workflow termination all need technical enforcement plus persistent governance records.

Useful evidence includes the original principal, delegating Agent ID, receiving Agent ID, parent delegation ID, purpose, permitted scope, tools, runtime decisions, actual actions, approvals, timestamps, and outcome.

Without this information, incident response can degenerate into a sequence of unrelated service logs. With it, security can reconstruct the authority chain.

A conceptual record can include a delegation ID, principal, parent and child agent IDs, purpose, allowed tools and actions, prohibited actions, onward-delegation status, expiry, and policy reference. The design principle is what matters: authority should be machine-readable and inspectable.

A procurement manager may ask for three compliant suppliers for 100 new laptops and a recommendation. Procurement Agent AID-2001 receives authority to search approved suppliers, retrieve pricing, and prepare a draft recommendation, but not to execute a purchase.

AID-2001 may delegate research to AID-2112 with only supplier search, price retrieval, and compliance-status retrieval authority. AID-2112 may communicate with a supplier-controlled agent for a quote, but only for approved supplier organizations.

If AID-2001 later tries to submit the order, runtime policy can compare prepare_recommendation authority with the requested submit_purchase_order action and require human approval.

AgentID's Agentic Identity Protocol provides a model for attaching identity, ownership, purpose, scope, lifecycle and audit context to autonomous actors.

Delegation extends this model. Rather than viewing agents as isolated accounts, AIP can represent a graph of Principal -> Agent -> Delegation -> Agent -> Tool -> Action.

The goal is not to replace A2A, MCP or OAuth. It is to preserve accountability as authority moves through them.

Identify the original principal.

Identify the delegating Agent ID.

Identify the receiving Agent ID.

Record the task.

Record the purpose.

Define maximum authority.

Define permitted tools.

Define permitted actions.

Define data boundaries.

Set expiry where appropriate.

Define onward-delegation rights.

Define maximum delegation depth.

Require scope attenuation.

Define approval boundaries.

Support revocation.

Preserve correlation IDs.

Record runtime decisions.

Preserve the final audit chain.

What is AI agent delegation? AI agent delegation occurs when a human, system or agent assigns work or authority to another autonomous agent.

Is task delegation the same as authority delegation? No. A task describes what should be accomplished. Delegated authority defines what the receiving agent is permitted to do while accomplishing it.

Should agents inherit all permissions from parent agents? Generally no. Downstream agents should receive only the authority needed for their delegated task.

What is authority attenuation? It is the principle that delegated authority should remain equal to or narrower than the authority from which it was derived.

Can one AI agent delegate to another? Yes, if the architecture and policy allow it. Onward delegation should be explicit, bounded and auditable.

What should be recorded? At minimum: principal, parent and child agents, purpose, authority, expiry, onward-delegation rules, actions, approvals and timestamps.

How does AIP help? AIP provides persistent identity and governance context for each autonomous actor in the delegation chain.