Planning agent coordination becomes reviewable only after its state, owner, and failure boundary are visible. In practice, the team needs to give each agent a bounded task, explicit inputs, an output contract, and a human-owned integration point. Otherwise, shared vague context causes duplicated work and confident conflicts.
Turn "done" into observable behavior: Agent Coordination
Acceptance criteria for agent coordination should identify the actor, starting state, action, durable result, denied path, repeated action, and recovery evidence. The interface may report success while shared vague context causes duplicated work and confident conflicts. The criterion therefore has to compare visible feedback with the server-enforced policy and auditable state transition.
Cover the states that change the decision: Agent Coordination
Test ready, empty, invalid, denied, delayed, duplicate, partial, successful, and recovered states where they apply. Add a case in which access is revoked, an owner is absent, or a repeated request arrives after partial completion. Each case should say whether input is preserved, whether retry is safe, and which record a reviewer inspects. Avoid criteria such as "works" or "implemented" because two reviewers can interpret them differently.
Test authority, not visibility: Agent Coordination
The expected behavior must hold for an allowed actor, a denied actor, a revoked role, and a direct request that bypasses the normal interface. A denial should leave protected state unchanged and produce a useful audit record without exposing secrets. The accountable actor should have only the permissions required for agent coordination.
Attach evidence to every important claim: Agent Coordination
Use allowed and denied tests, audit records, ownership dates, recovery notes, and redacted logs. Record the environment, configuration, and time range so another reviewer can reproduce the result. A passing test supports only the behavior it exercised; it does not prove every security, accessibility, performance, or operational claim. Monitor repeat incidents as a release signal.
Decision map: Agent Coordination
- Bounded task. Name the owner, authoritative record, expected state, and denial behavior for this part of agent coordination.
- Explicit inputs. Document the normal transition, one interrupted transition, and the smallest safe recovery.
- Output contract. Attach a reproducible test, dated result, and reviewer who accepts the remaining risk.
- Human integration point. State the input, output, permission boundary, and removal condition before adding automation.
- Conflict resolution. Record how repeated action behaves and which evidence distinguishes retry from duplication.
Boundary cases: Agent Coordination
- When the recorded value for bounded task changes after explicit inputs is stored, name which value wins and how the losing state is reconciled.
- If evidence for output contract becomes unavailable while the agent coordination request is in progress, preserve enough context to distinguish rejection from partial completion.
- A repeated action involving human integration point should return the existing result or expose the possible duplicate effect before retry.
- A denied change to conflict resolution must leave authoritative state untouched and create an audit record that reveals no secret.
- Recovery should restore the smallest trustworthy state first, then verify the visible agent coordination outcome against the maintained record.
Measure the decision, not activity: Agent Coordination
Track repeat incidents and manual repair time. Before collecting results for agent coordination, define each measure's population, environment, time window, and owner. Activity is useful only when it clarifies whether the protected agent coordination outcome became safer or easier to recover.
Set the investigation threshold for agent coordination in advance. The acceptance review should also name the permitted response, the evidence required to close the issue, and the next review date. Stop collecting agent coordination data when it no longer distinguishes success, denial, delay, duplication, or recovery, or when it no longer changes a decision.
Sources and local proof: Agent Coordination
These primary references document platform behavior relevant to agent coordination. For agent coordination, those references establish terminology and constraints; they do not verify the local implementation.
Any publishable agent coordination claim still needs dated local evidence: configuration, test output, screenshots, logs, queries, or recovery results from the named product. The acceptance review should say exactly which artifact supports each important claim.
A related InMyDraft example: Agent Coordination
InMyCitizen provides a local example of an inspectable product boundary relevant to agent coordination. Its project catalog records this implementation detail: A civic timeline, direct messaging (citizen, support, community, and AI conversations), a document wallet, civic reports with photo and location, bills, and appointments are all wired into the same resident account.
The comparison between InMyCitizen and agent coordination is deliberately narrow. It shows how one product makes state and evidence visible; it does not prove that every agent coordination recommendation has been implemented. Use the InMyCitizen example to review agent coordination, not as a substitute for testing the product in scope.
Review checklist: Agent Coordination
- Given a valid starting state, the accountable operator with the narrowest required permission can complete the intended agent coordination outcome.
- Invalid and unauthorized requests leave the server-enforced policy and auditable state transition unchanged.
- A repeated action does not duplicate a protected side effect.
- The team can demonstrate that it can replay the same task and compare whether outputs remain reviewable and mergeable.
- Failure and recovery produce evidence another reviewer can reproduce.
An agent coordination decision is ready for the next stage when another accountable person can reproduce the evidence, explain the failure boundary, and perform the recovery without relying on the original author's memory.
