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A fabricated tool result would make the model rely on unverified evidence and would not correspond to a pending client-executed tool_use identifier. This server-side search is already handled by the platform. The application must not invent a local replacement for a result that should come from the actual server tool.

Server-executed searches do not require a second local copy of the operation. Reissuing the query in a shell can change sources, double costs and create two incompatible evidence trails. The integration should distinguish its own client tools from those Anthropic runs as part of the Messages API request.

A `server_tool_use` block describes a provider-executed tool operation; it does not mean the provider rejected the request as unauthorized. Misclassifying this event as authentication failure would prevent a valid search from completing and conceal the actual protocol state. The integration should process the server-tool response or pause rather than invent an unrelated login failure.

Caching must reuse an actual successful and authorized observation, not let the model guess later answers. A catalog query for a different item, tenant or source revision is not equivalent merely because its topic sounds similar. Fabricated catalog values would hide missing evidence and can mislead purchasing decisions.

Idempotency keys help reconcile retries of a particular write; they do not make arbitrary unrelated writes safe or eliminate redundant read queries. This scenario has repeated read-only lookups, so cache verified retrieval data under stable inputs and provenance, with the proper expiry and scope.

Blindly rerunning identical stable lookups adds latency and cost but does not improve validity. If the data may have changed, refresh under a clear cache-expiry rule; if version and access context are identical, reuse the verified result. Re-execution is not a substitute for coherent invalidation rules.

A token budget is an upper resource limit, not permission to keep working after the operator cancels a request. The host should stop issuing new calls when the cancellation signal is received and report which read, if any, already completed. Waiting for token exhaustion could disclose additional data or trigger unapproved operations.

Reissuing calls after cancellation can cause unwanted work and, for stateful operations, duplicate side effects. Preserve the actual completed work and stop future requests.

One successful read cannot prove later planned operations ran. A complete audit distinguishes executed, pending and cancelled calls; otherwise users are misled about the state of their request.

An apparently smooth answer that conceals the permission error misstates what the host could access. Each pending tool must have its own truthful outcome so Claude can avoid unsupported invoice assertions.

Omitting one pending tool result leaves the original tool-use request unresolved. Claude needs to know the failed lookup occurred and must not assume invoice details were retrieved.

An authorization failure normally requires a credential or permission change, not unbounded retries. The host should provide an error result and use the application’s approved escalation process rather than hiding the failure in a loop.

A pause_turn response means the server-side tool loop is paused rather than complete. Delivering its partial text as a final answer could omit the pending search conclusions, so the application must continue the paused conversation within its own execution budget.

A server-executed search does not require the host to construct a client tool_result. Fabricating one changes the conversation protocol and can make the assistant interpret invented data as though a local tool ran. Preserve the paused assistant response instead.

Starting from a blank context discards completed search steps and uncertainty about what remains. The proper continuation preserves the paused message and lets the provider resume its server-tool loop under a controlled budget.

Independent agent analysis can proceed in parallel, but overlapping stateful edits require an explicit ownership and integration strategy to avoid lost updates. The decisive requirement here is to make the coordinator the communication and aggregation hub.

Always invoking every subagent wastes tokens and increases noise. It would leave the stated need to make the coordinator the communication and aggregation hub unresolved.

Labeling a finding after uncontrolled peer exchanges can help a reviewer identify it, but does not restore coordinator ownership of the task’s routing, dependencies or completion state. The problem is bypassed coordination itself. Route assignments and returned outputs through the central coordinator before the final synthesis.

The coordinator needs provenance to evaluate specialist findings. A confidence number cannot establish which supplier pricing or contractual restriction each specialist actually inspected. Retain claim-level citations and revisions so the coordinator can challenge discrepancies and the final report can be audited.

Research delegation must not grant unrelated legal signing authority. Research findings are advisory outputs, not delegated legal authority. The pricing specialist may provide calculations and evidence, but contract execution requires a separately authorized human or business workflow with its own permissions.

Selecting a pricing specialist helps dispatch a narrow pricing question, but these three estimates have already been returned and conflict. Choosing one specialist now would not reconcile inconsistent regions, assumptions or effective dates. The coordinator must compare the cited evidence and disclose unresolved differences in its synthesis.

A coordinator must handle partial results explicitly. This capability does not directly resolve contradictory specialist outputs before final synthesis. The specialists returned results, not a crashed workstream. Marking one analysis incomplete does not decide which price estimate uses valid assumptions or evidence.

The coordinator should receive decision-relevant summaries and evidence pointers, not every raw intermediate token. That addresses a different part of the system, not the requirement to resolve contradictory specialist outputs before final synthesis.

Reporting the missing contract analysis as an incomplete workstream would be honest, but it does not actively address a gap the coordinator can still investigate. The report already contains other sections, so the preferred next step is a targeted contract-restrictions assignment followed by synthesis. Escalation remains appropriate if the targeted review fails.

Always invoking every subagent wastes tokens and increases noise. This alternative does not establish how to close uncovered workstream gaps with targeted delegation in the stated workflow.

Prompts that describe a role are useful but not equivalent to technical permission controls. It would leave the stated need to close uncovered workstream gaps with targeted delegation unresolved.

Always invoking every subagent wastes tokens and increases noise. Although useful elsewhere, it is not the direct mechanism to avoid unnecessary multi-agent orchestration on simple tasks.

A hub-and-spoke architecture makes one coordinator responsible for task routing, provenance and integration. The scenario instead requires a way to avoid unnecessary multi-agent orchestration on simple tasks.

Comparing contradictory specialist reports is useful when several expert analyses are actually needed. In this case, the user asked one account-billing fact and a trusted lookup already exists. Spawning multiple branches just to reconcile them adds complexity without additional information; perform the narrow authorized lookup and answer from that evidence.

Dispatching only to the pricing specialist is efficient for a pricing-only question. A disagreement between security and legal interpretations of retention rules cannot be settled by narrowing the work to prices; the coordinator must compare the competing interpretations against the governing source.

Scheduling legal work before dependent tasks solves a prerequisite-order problem, not a disagreement between two completed interpretations of the same policy. Both the security and legal agents have returned conflicting claims. The coordinator must compare the authoritative policy text and document the unresolved difference instead of simply changing execution order.

Routing a refund specialist's dependency through the coordinator controls agent-to-agent communication. It does not resolve two contradictory interpretations of a retention policy already returned by security and legal agents. The coordinator needs an evidence-backed cross-domain decision or an explicit unresolved finding.

Agent throughput is not evidence that a retention-policy interpretation is correct. A model that completed more requests is not necessarily interpreting the current contract correctly. Resolve the disagreement against effective policy documents, jurisdiction, scope and dates; escalate if the authoritative text remains ambiguous.