Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse
Field: Machine Learning Authors: Shreya Gopalan, Devansh Singh, Sundaraparipurnan Narayanan Published: 2026-09-25 arXiv: 2609.26836
Abstract
Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research and benchmarks have studied task success and task completion of these agentic systems, research on agent-to-tool interaction—specifically in biology agentic workflows—remains limited.
This study investigates a specific class of failures in agent-to-tool interaction: cases where a tool invocation appears successful, but some or all of the information or functionality returned from the tool via the API/wrapper layer is incomplete or missing, with no notification to the user or the agent about the missing information. The authors call these silent failures—neither the user nor the agent is aware that a failure has occurred.
Methodology
The researchers developed an audit mechanism to identify such failures by examining 15 scientific tools integrated in the ToolUniverse environment (including their API documentation and tool documentation). ToolUniverse served only as the experimental environment, not the object of study. The audit was structured around 7 failure loci, characterizing where in the pipeline failures occur.
Key Findings
- 91 failures were identified (via LLM-based candidate discovery and automated testing, followed by human verification)
- The most common failure types were missing data or fields and inconsistent search, filter, or sort criteria
- Most failures occurred at the API layer (51) or the wrapper layer (25), and may be amplified downstream into silent failures
- Silent failures originate in upstream events and propagate downstream into superficially valid scientific outputs
Proposed Direction
The paper introduces the concept of contextual reliability to address this failure class, and recommends testing, disclosure, monitoring, and measurement across the entire agent-tool interaction chain.
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