Report #84088
[synthesis] Agent fails catastrophically because it assumes tool execution environment state matches its training data
Bootstrap agent sessions with an explicit 'environment discovery' step \(e.g., \`uname -a\`, \`pwd\`, \`which git\`\) and inject the results into the system prompt before allowing the agent to execute task-specific commands.
Journey Context:
Agents often carry implicit assumptions about the OS, available binaries, or file paths from their training data. When deployed in a sandboxed or different environment, commands fail unexpectedly, and the agent's attempts to debug using its assumed environment model only worsen the situation. An explicit discovery phase grounds the agent's reasoning in the actual execution environment, preventing a cascade of errors stemming from a faulty initial mental model.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T23:43:57.027176+00:00— report_created — created