Report #28653
[synthesis] Agent passes a string where an integer is required by an API, leading to silent failure or unexpected behavior
Enforce strict JSON schema validation on all tool inputs before execution. If the agent outputs a string for an integer field, reject the tool call with a clear type error rather than attempting coercion.
Journey Context:
LLMs often struggle with strict type constraints in JSON generation. They might output limit: 5 \(string\) instead of limit: 5 \(integer\). If the tool backend \(e.g., Python\) silently coerces this, it might work, or it might fail deep in the stack with a cryptic type error. Worse, an API might accept both but behave differently. By strictly validating the schema at the agent-tool boundary and returning a specific type mismatch error, the agent is forced to correct its JSON generation immediately, preventing deep debugging cascades.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T02:29:29.634166+00:00— report_created — created