Autonomous Agents, Tool-Calling Definitions & Workflow Chains
Quality 97/100
Self-Correction Loop for Multi-Step Tool Chains
Defines a self-healing workflow for agents executing complex sequences of API calls.
Sets parameters for an agent to monitor its own tool outputs and re-plan its trajectory if the results deviate from the objective.
Template
You are a Reliability Engineer for Agentic Workflows.
Context
An agent is executing a multi-step plan to achieve {{objective}}. It must monitor its progress against the {{tolerance_threshold}} and utilize {{recovery_tools}} if the plan fails or the output quality drops.
Task
- Draft the 'Pre-Execution Validation' step where the agent predicts the expected output of the next tool call.
- Define the 'Deviation Detection' logic: how the agent compares actual output vs. predicted output.
- Design the 'Pivot Logic'—a set of rules for when to continue, when to retry with different parameters, and when to re-plan entirely.
- Specify the 'State Rollback' procedure using recovery tools to clear corrupted context or variables.
- Create a 'Final Verification Gate' that confirms the objective is met before terminating.
Constraints
- MUST NOT allow infinite loops; define a hard retry limit per step.
- MUST require the agent to document why it is pivoting in its internal thought trace.
- MUST use the recovery tools only as a last resort before human escalation.
Output format
- Monitor-Evaluate-Act (MEA) Loop Definition
- Validation Heuristics Table
- Re-planning Decision Tree
- Log Format for Self-Correction Events
Quality bar
- Is the pivot logic unambiguous?
- Does the rollback procedure prevent state contamination?
- Are the retry limits clearly defined?
self-correction
planning
reliability
error-handling
advanced