PRA-ACT-01Tier IPerceive–Reason–Act Cycle

Act–Observe Closure

Every action produces a structured observation that closes the loop back to the agent's reasoning — not a fire-and-forget invocation.

Runtime: ActAgentOps: Build & IntegrateSee on the matrix →
ACT → OBSERVE CLOSURE Agentreasoning Decideselect tool Toolinvoke Resulttyped observation Update Stateplan revisedecideinvokeobserveupdateEvery action returns a typed observation — never fire-and-forget.
In Plain English

This page is the complete instruction page for one pattern called "Act–Observe Closure." It explains the problem this pattern solves, the idea behind the solution, when you should (and should not) use it, and what happens afterward, both the good effects and the costs.

This matters because building AI agents is not just about making them clever. It is also about making them safe and predictable. Following a well-tested pattern like this one helps avoid common mistakes, and shows you exactly which safety rules and regulations it connects to, listed under "Standards Mesh" on this page.

Context

Agents that act without reliable observation of the result drift into confabulation. They assume success, plan on top of an imagined state, and cascade errors.

Problem

Open-loop action destroys the feedback that makes iterative agents work.

Forces

  • Action latency vs observation completeness
  • Synchronous vs asynchronous tool semantics

Solution

Every tool call returns a typed result: success/failure, structured payload, side-effect summary, and a confidence or freshness marker. The agent's next reasoning step is fed the full observation, not a simplification.

Placement

Where this pattern acts in the two lifecycles

Runtime Cognitive
01Perceive
02Reason / Plan
03Decide
04Act
05Observe
06Reflect / Learn
07Terminate

04 Act. Tool call, API invocation, environment mutation. 15 of 61 catalogue patterns act at this stage.

AgentOps Lifecycle
01Design & Scope
02Build & Integrate
03Evaluate & Red-Team
04Deploy
05Operate & Monitor
06Iterate & Adapt
07Decommission

02 Build & Integrate. Model selection, tool wiring, memory design. 17 of 61 catalogue patterns act at this stage.

Stages and counts from the catalogue data. The Runtime lens is the loop the agent runs each turn; the AgentOps lens is the lifecycle the team runs the agent through. See the Matrix for every pattern at each stage.

Applicability

  • All ReAct-style agents
  • Any action with side effects
  • Long-horizon tasks

Anti-Patterns

  • Treating HTTP 200 as semantic success
  • Discarding tool output metadata

Consequences

  • +Reliable iteration
  • +Errors caught at the next step
  • −Slightly more token usage
  • −Tool authors must define result schemas