Software Development
Multi-Agent Handoff Contract
As teams chain multiple agents or tools together, they need a clear handoff contract for inputs, outputs, validation, and ownership, but these boundaries are usually implicit. Built for workflow architects and AI platform leads building multi-step agent systems.
One-Time Purchase
$9.99
Headline
Audience: workflow architects, operations leads, and human reviewers managing agent-to-agent handoffs
Confidence: Medium-high
Scope: intake → diagnosis → resolution draft → human approval
1) Handoff objective
Define a contract that lets three agents work in sequence without losing context, duplicating work, or silently escalating risk:
- Intake Agent normalizes the request and collects missing fields.
- Analyzer Agent classifies the issue, determines likely cause, and identifies required evidence.
- Resolver Agent drafts the action plan or response package for human review.
The contract below is designed to produce a review-ready artifact while preventing unsupported claims, unapproved external actions, and hidden assumptions.
2) Recommended handoff contract
Contract payload
{
"request_id": "REQ-1842",
"request_type": "support-triage",
"owner": {
"team": "operations",
"human_approver": "required"
},
"input_summary": {
"source_channel": "ticket",
"user_problem_statement": "Intermittent login failures after SSO rollout",
"attachments_received": ["error screenshot", "browser console excerpt"]
},
"known_facts": [
"Issue began after SSO rollout",
"Failures are intermittent",
"Two users reported the same symptom",
"No production changes have been verified in this review"
],
"assumptions": [
"The screenshots are authentic and correspond to the reported issue",
"The SSO rollout may be causally related but is not yet proven"
],
"missing_inputs": [
"affected user list",
"exact error text",
"time window of failures",
"browser/version details",
"SSO configuration change log"
],
"validation_rules": [
"Do not infer root cause without at least one corroborating log source",
"Do not recommend production changes without human approval",
"Flag any claim that lacks direct evidence"
],
"handoff_state": {
"next_agent": "Analyzer Agent",
"required_output": [
"likely_issue_hypotheses",
"evidence_gaps",
"recommended_checks",
"confidence_by_hypothesis"
]
}
}
3) Operator-facing handoff summary
Evidence summary
| Evidence | Source | Confidence | What it supports | Limitations |
|---|---|---|---|---|
| Intermittent login failures | User report | Medium | A real user-facing problem exists | Self-reported; not independently verified |
| Symptoms began after SSO rollout | User report + timeline | Medium | Temporal correlation with change event | Correlation does not prove causation |
| Same symptom seen by two users | Ticket history | Medium-high | Issue may affect more than one account | Small sample size |
| Screenshot and console excerpt provided | Attachment | Medium | There may be observable client-side clues | Content not yet validated against logs |
| No verified production changes in review | Operator review state | High | Prevents premature change attribution | Does not rule out unreviewed changes |
Confidence by conclusion
| Conclusion | Confidence | Rationale |
|---|---|---|
| A real incident or defect is likely present | High | Multiple reports and artifacts point to a repeatable issue |
| SSO rollout is a plausible contributor | Medium | Timing is suggestive, but evidence is incomplete |
| Root cause is known | Low | No corroborating log or config evidence supplied |
| Immediate production remediation is justified | Low | Missing validation and approval gate |
4) Evidence, assumptions, recommendations, open questions
Evidence
- User reports indicate intermittent login failures.
- The issue appears after the SSO rollout.
- Two users have reported the same symptom.
- A screenshot and browser console excerpt were supplied.
- No validated change record or log evidence was included in the handoff.
Assumptions
- The attachments correspond to the same incident described in the ticket.
- The rollout date and symptom onset are accurate.
- The environment has standard access to authentication logs, IdP logs, and change records.
Recommendations
- Do not close as resolved until one server-side or identity-provider log source confirms the failure mode.
- Route to Analyzer Agent with explicit evidence requirements:
- auth log lookup
- SSO configuration diff
- affected-user sampling
- browser/version correlation
- Escalate to human approver if any recommendation would change production authentication settings.
- Prepare a draft customer response that states investigation is in progress and does not assert cause.
Open questions
- Which users are affected, and do they share browser, network, or role characteristics?
- What exact error code or assertion failure appears at the moment of login?
- Was the SSO configuration changed, rolled back, or partially deployed?
- Do server logs show token rejection, clock skew, certificate mismatch, or attribute mapping failure?
- Is the problem limited to a specific app, tenant, or identity provider path?
5) Agent-to-agent handoff contract
Intake Agent → Analyzer Agent
Required input fields
- request_id
- normalized user problem statement
- attachments index
- timestamp window
- known facts
- missing inputs
- prior attempts
Validation gate
- Reject if no timestamp window is present
- Reject if attachments are not indexed
- Reject if the request statement is still free-form and unparsed
Output expected from Analyzer Agent
- 2–4 ranked hypotheses
- evidence mapping for each hypothesis
- explicit confidence values
- list of missing validations
- “safe next action” recommendation
Analyzer Agent → Resolver Agent
Required input fields
- ranked hypotheses
- evidence summary
- confidence scores
- unresolved risks
- approved action boundaries
Validation gate
- Reject if any hypothesis claims root cause without evidence
- Reject if recommended action requires external side effects
- Reject if human approval requirement is absent for production-impacting steps
Output expected from Resolver Agent
- operator-ready action plan
- escalation decision
- customer/internal update draft
- blocked items and reasons
6) Compare: unsafe vs safe handoff behavior
Unsafe pattern
- Passes only a narrative summary
- Mixes observations with conclusions
- Omits missing inputs
- Lets downstream agents infer cause
- Allows external actions without approval
Safe pattern
- Separates evidence, assumptions, and recommendations
- Names missing inputs explicitly
- Assigns confidence to each conclusion
- Requires validation before handoff
- Blocks unapproved production actions
7) Suggested checklist for the next operator
8) Decision-ready recommendation
Recommended path: proceed with a constrained investigation workflow, not a fix-first workflow.
Why: the current handoff is sufficient to identify likely failure domains, but not enough to justify a production change or a definitive root-cause statement.
Operator decision needed: approve evidence collection and triage ownership before any remediation proposal is issued.
Overall handoff readiness: 74%
Unresolved risk level: Medium-high
This sample illustrates a review-ready multi-agent handoff contract with explicit evidence separation, confidence scoring, blocked-action rules, and a human approval boundary; it does not imply any external investigation or remediation was performed.
This sample illustrates the skill's output format. Names, metrics, and operational details are illustrative unless the artifact explicitly analyzes public information.
View full sample →
All sales final. No refunds on digital products.
Includes support for Claude Code, Codex, OpenClaw, and Google Antigravity in the same license.
Also in July 2026 Skill Drop
Bundle price: $27.50. Compare this skill with the full workflow bundle or Pro access.
Best for
Workflow architects, AI platform leads, and operations owners designing multi-agent chains where one agent's output becomes another agent's input, decision basis, or approval packet. Most valuable when the system has at least two handoff boundaries and the team needs explicit contracts for payload fields, validation gates, ownership, and blocked actions before pilot.
Not ideal for
Single-agent workflows where no downstream handoff exists. Also a poor fit as a substitute for orchestration runtime configuration, message-queue schemas, or production incident response; use platform engineering review and runtime tests when the contract must be enforced mechanically.
Included in this purchase
- Claude Code, Codex, OpenClaw, and Google Antigravity skill files.
- Setup guidance for the right adapter in your workspace.
- One-time license for the purchased skill version.
Setup
Plan for a short copy-and-configure setup in your preferred agent workspace. No custom integration is required for the skill file itself.
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Future Updates
This purchase includes the current version of the skill. If you want future adapter updates — meaning compatibility and packaging updates as supported platforms evolve — plus new catalog additions included automatically, upgrade to Pro.