GovKM
Silent Retrieval Failure and Contextual Reliability

The Tool Said Success. The Evidence Was Missing.

A ToolUniverse audit found 91 silent failures in scientific agent-tool interaction, showing why a successful API response must preserve completeness and query semantics if it is to function as trustworthy evidence.
Governance illustration representing a scientific tool call marked successful while fields, filtering behavior, or evidence are silently incomplete.
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A successful tool call can still return incomplete evidence.

Researchers auditing 15 scientific tools and wrappers in the ToolUniverse environment manually validated 91 silent failures: cases where an invocation appeared successful while information or functionality was missing and neither the user nor the agent was told. Most failures originated in API or wrapper layers and could propagate into downstream scientific outputs that appeared valid.

The continuity failure

The result preserved success status while losing completeness, filtering semantics, and missingness state.

The GovKM interpretation

Retrieval evidence needs contextual reliability metadata. A downstream model cannot reason correctly about evidence gaps if the gap itself does not travel with the returned object.

Continuity path: Source / scientific database → Evidence / API result → Context / completeness and filtering state → Decision → Record / scientific output.

Source

Shreya Gopalan, Devansh Singh, Sundaraparipurnan Narayanan, “Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse,” arXiv, September 21, 2026.

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Continue through the GovKM Framework to examine the doctrine, knowledge, and implementation guidance behind Organizational Continuity.