AI Agents 2 min read

Multi-Agent Protocols: Separate Tool Calls From Task Handoffs

A multi-agent design needs to distinguish calling a tool from delegating a task.

(Updated: ) • 302 words

A multi-agent design needs to distinguish calling a tool from delegating a task. A search function can return evidence to its caller without becoming an autonomous worker. A delegated task needs an identity, a finite scope and a way to report progress or failure.

Choose the boundary from the work being assigned

Work Useful boundary
Fetch a search observation A tool with explicit input and evidence output
Read a selected page A tool with source identity and extraction status
Delegate a bounded research question A task with lifecycle and evidence requirements
Combine several worker findings An application decision with conflict review

Define an application-owned handoff record

def handoff(task_id, allowed_tool, budget):
    if budget < 1 or allowed_tool not in ('search', 'read'):
        raise ValueError('Unbounded or unauthorized handoff')
    return {'task_id': task_id, 'tool': allowed_tool, 'max_calls': budget,
            'evidence_required': True, 'status': 'pending'}

record = handoff("source-review-1", "read", 3)
assert record["max_calls"] == 3
assert record["evidence_required"] is True

The local fixture rejects an unallowed tool and an unbounded budget. It is a small application record, not a complete A2A implementation or a claim that a protocol itself grants permission to act. MCP and A2A have distinct specifications; choose the relevant contract rather than labelling every request an agent handoff.

Accept evidence, not only a worker summary

A broader agent architecture belongs in the parent guide. This page concerns the tool-versus-task decision and a bounded handoff contract.

  • Keep source URLs, access times and the supporting material in the task result.
  • Track remaining tool calls and the condition that ends the task.
  • Preserve errors and conflicting findings for the coordinator.
  • Do not let retrieved source text expand the allowed tool scope.

Reference documentation: modelcontextprotocol.io — /specification/latest; a2a-protocol.org — /latest/specification.

Tags:

AI Agents Multi-Agent Systems Collaboration Tools RAG Real-Time Data SERP API Reader API LLMs
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