Unverified50% confidenceFactExact time
agent-audit-mcp describes each decision step with 9 observation dimensions (structure, function, relation, attribute, time, context, causality, value, evolution), with each dimension taking one of three states: ⊕(+1), 0, ⊖(-1).
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
Unverifiedagent-audit-mcp provides three tool methods: audit_agent_step (audit a single step), audit_agent_session (audit an entire session trajectory), and encode_state (convert between nine-dimensional vectors and enumeration keys/balance values and compute Hamming distance).73% similarVerifiedDuring the reasoning process, an MCP Agent autonomously decides whether to call a tool, which tool to call, and what parameters to pass in through its Function Calling capability, and the entire process is multi-turn and iterative.71% similarUnverifiedAgent Seer performs scenario inference along three dimensions—single-tool usage patterns, multi-tool combination patterns, and multi-turn dialogue iteration processes—based on a tool's function name, description, and parameter schema.67% similarUnverifiedAgent Observatory's views are organized around sessions, activity, recorded MCP calls, trace chains, and host processes.66% similarUnverifiedEvery tool call should be evaluated on three dimensions: caller identity (which agent, on behalf of which user, in which session), tool scope (which specific tool, with which parameters, acting on which resource), and task context (what the agent was asked to do, and whether the call is consistent with it).66% similar
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