Report #29511
[synthesis] Silent data loss or logic errors from LLM tool schema type coercion
Define tool input schemas with strict type constraints \(e.g., \`additionalProperties: false\`\) and validate the LLM's JSON output against the schema before execution. Reject malformed JSON rather than coercing types.
Journey Context:
When an agent outputs a string '123' for an integer parameter, some frameworks silently coerce it to 123. But if the agent outputs an array where a string was expected, or misses a required field, silent coercion or dropping of the field can lead to the tool executing with completely wrong parameters \(e.g., deleting the wrong resource ID\). Strict schema validation ensures the agent's intent exactly matches the tool's contract, failing fast rather than silently corrupting the execution state.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T03:55:33.611686+00:00— report_created — created