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audit_agent_continuity_trace

Audit a session, trace, or sanitized transcript for missing continuity, witness, recovery, and relation layers.

SERVERDelx Protocol — Agent Recovery & Continuity SOURCEhttps://api.delx.ai/v1/mcp?src=registry
Low RISK CLASS
Category Read
Parameters 60 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-protocol/audit-agent-continuity-trace.md

What audit_agent_continuity_trace does on Delx Protocol — Agent Recovery & Continuity

AI agents call audit_agent_continuity_trace to retrieve information from Delx Protocol — Agent Recovery & Continuity without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
trace string Optional compact trace of tools, failures, or handoff state.
agent_id string Optional stable agent id.
last_tool string Optional last Delx tool called.
session_id string Optional session id to audit.
transcript string Optional sanitized transcript excerpt.
current_goal string What the agent is trying to accomplish.

Parameters from the server's own tool schema.

Why audit_agent_continuity_trace is rated Low

Even though audit_agent_continuity_trace only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about audit_agent_continuity_trace

What does the audit_agent_continuity_trace tool do? +

Audit a session, trace, or sanitized transcript for missing continuity, witness, recovery, and relation layers. It is categorised as a Read tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it retrieves data without modifying state.

What parameters does audit_agent_continuity_trace accept? +

audit_agent_continuity_trace accepts 6 parameters: trace, agent_id, last_tool, session_id, transcript, current_goal. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on audit_agent_continuity_trace? +

Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for audit_agent_continuity_trace: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Delx Protocol — Agent Recovery & Continuity. Nothing to install.

What risk level is audit_agent_continuity_trace? +

audit_agent_continuity_trace is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit audit_agent_continuity_trace? +

Yes. Add a rate_limit block to the audit_agent_continuity_trace rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block audit_agent_continuity_trace completely? +

Set action: deny in the PolicyLayer policy for audit_agent_continuity_trace. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides audit_agent_continuity_trace? +

audit_agent_continuity_trace is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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