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Checking reference authorization controls which customer's documents a subagent may read, but the missing input is the customer's country that the coordinator already knows. A secure subagent can still lack that context because its call did not include it. Pass the verified jurisdiction explicitly in the delegation request.

Delegation is a tool execution capability, not just a preference conveyed in instructions. The scenario instead requires a way to provide prerequisite facts at subagent invocation.

A delegate needs a clear contract for its autonomous work. This alternative does not establish how to provide prerequisite facts at subagent invocation in the stated workflow.

A budget limit does not certify that missing checks were performed. The specialist has not finished the required comparison. Marking success would cause the coordinator to omit missing evidence and treat an unverified answer as complete, defeating the explicit execution-budget guardrail.

Unapproved delegation would bypass the original scope and resource limits. Resource limits are part of the delegation contract, not an obstacle a worker may silently override. An unlimited replacement could incur unexpected cost, exceed permissions and destroy the audit trail for the incomplete result.

Subagent tool interactions are generally isolated within its execution. This alternative does not establish how to resolve agent-definition precedence rather than assume both run in the stated workflow.

The coordinator needs to correlate responses with assignments even when arrival order differs. The decisive requirement here is to resolve agent-definition precedence rather than assume both run.

Changing log verbosity neither determines which agent definition is loaded nor prevents an accidental shadowing of one named reviewer by another. To make the effective configuration predictable, inspect the selected definition and avoid duplicate names; unrelated logging settings do not resolve agent selection.

Concurrent subagent dispatch reduces latency, but it does nothing to stop a read-only reviewer from using a shell command that changes files. The security issue is effective execution permission, not scheduling. Restrict the reviewer's tools and enforce write denial at the host or sandbox boundary even if the model requests Bash.

Programmatic definitions provide runtime-scoped configuration and can override file-defined agents with the same name. The scenario instead requires a way to restrict delegated execution to authorized tools.

Per-agent model choice lets designers trade capability for cost and latency. Although useful elsewhere, it is not the direct mechanism to restrict delegated execution to authorized tools.

Clear subagent scope and outputs can improve task consistency, but do not materially change the cost per inference across millions of simple categorizations. The cost decision is to benchmark a cheaper model against representative accuracy criteria before using it at scale.

Filtering private references protects data access, but it does not determine the cost of performing millions of low-risk categorizations. The cost lever is model selection after representative quality testing and batch throughput measurement. Least-privilege access remains necessary, but it cannot replace the workload-model trade-off.

Tool permissions constrain what the specialist can do even if prompted or influenced to perform an unrelated action. That addresses a different part of the system, not the requirement to choose economical models for bounded specialist work.

Delegation is a tool execution capability, not just a preference conveyed in instructions. This alternative does not establish how to improve automatic specialist routing using descriptions in the stated workflow.

Programmatic definitions provide runtime-scoped configuration and can override file-defined agents with the same name. It would leave the stated need to improve automatic specialist routing using descriptions unresolved.

A delegate needs a clear contract for its autonomous work. Although useful elsewhere, it is not the direct mechanism to improve automatic specialist routing using descriptions.

Defining the task contract helps a subagent know what to research, but it does not automatically expose its intermediate search events to the coordinator. The delegated loop is isolated. If intermediate evidence must be inspectable, the subagent should return explicit logs, citations or artifact handles in its final handoff.

Authorization checks decide which files a specialist may read; they do not cause the parent to receive every internal tool event. The subagent operates in an isolated context and returns its final report by default. If intermediate searches need auditability, explicitly export evidence handles or logs from the delegated run.

Claims of completion require verifiable artifacts. That addresses a different part of the system, not the requirement to request explicit intermediate evidence from isolated specialists.

Authorization filtering prevents a subagent from seeing data it is not entitled to access, but the observed failure is an underspecified assignment. The specialist is authorized yet returns broad, irrelevant research because success criteria were missing. Provide a bounded question, desired evidence and output structure in the invocation.

A structured final deliverable can verify what a specialist produced, but it does not tell the worker which research question to answer before it begins. The phrase 'research it' leaves scope undefined. The invocation should specify the subject, limits and acceptance criteria, then require the corresponding structured result.

A subagent receives the context supplied at invocation, not an automatic copy of all coordinator history. It would leave the stated need to specify the delegated task and required return structure unresolved.

A delegate needs a clear contract for its autonomous work. This alternative does not establish how to minimize delegated context without losing critical constraints in the stated workflow.

Requiring file paths and test evidence is useful for code changes, but the actual problem is duplicating entire chat histories in every summarization context. An elaborate coding deliverable may increase rather than reduce tokens. Provide only task-relevant facts, authoritative evidence handles and necessary constraints to each summarizer.

Filtering references by authorization is essential for privacy, but the problem is copying irrelevant yet permitted history into every summarization context. Limit each subagent's input to the required facts, constraints, and evidence handles instead of duplicating whole conversations.

A better initial prompt might reduce ambiguity, but the coding subagent already claimed that a patch was completed. The coordinator now needs verifiable output from that run, not just a restatement of the task. Require changed file paths, a diff and concrete test evidence to assess the claim before merging.

Concurrent dispatch reduces critical-path time for independent specialists. That addresses a different part of the system, not the requirement to receive auditable specialist completion evidence.

Filtering a specialist's input references prevents unauthorized data access, but it does not substantiate a claimed code patch after execution. The coordinator needs the changed file paths, diff, focused test results and unresolved risks. Those outputs let it validate the actual change rather than trusting a fluent completion claim.

Serial waiting adds latency without supplying new information when each review uses independent inputs. Dispatching unrelated reviews together preserves their individual evidence while permitting parallel execution.

Claims of completion require verifiable artifacts. The decisive requirement here is to launch independent specialists concurrently. An auditable code-review deliverable does not shorten three unrelated review calls when they are still dispatched serially. Change scheduling so independent requests can run concurrently.

Checking authorization before sending references is necessary for privacy, but does not make independent reviews run faster. The three review tasks already have unrelated inputs; executing them one after another adds their durations. Dispatch independent jobs concurrently while preserving each result's owner and scope.