Tool Result Parsing
2 bite-size cards · 60 seconds each
Learn the key ideas, practical uses, and latest developments around Tool Result Parsing through concise, beginner-friendly explainers.
Robust Tool Result Parsing: Error Handling and Schema Enforcement in Production Agents
Production agents interact with real APIs that return errors, empty results, malformed JSON, and rate limit responses. Building a robust tool result parsing layer — with typed schemas, error classification, retry logic, and graceful degradation — is what separates reliable agents from brittle demos.
What is Tool Result Parsing in AI Agents?
When an AI agent calls a tool — a web search, a database query, an API — it gets back raw data. Tool result parsing is the process of converting that raw output into a format the agent can reason about and act on. Poor parsing is one of the most common causes of agent failure in production systems.
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