Read a context or memory trace by id.
AI agents call trace_get to retrieve information from Lore Context without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves stored trace data by identifier without modifying, deleting, or executing any operations. It is a straightforward query operation with no side effects beyond returning information that has already been stored in the evidence ledger.
From the tool's definition Tool description: 'Read a context or memory trace by id.' The verb 'Read' and the retrieval-only nature (no modification, deletion, or execution) align with the Read category.
Attacks that exploit this kind of access
Read a context or memory trace by id. It is categorised as a Read tool in the Lore Context MCP Server, which means it retrieves data without modifying state.
Register the Lore Context MCP server in PolicyLayer and add a rule for trace_get: 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 Lore Context. Nothing to install.
trace_get is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the trace_get 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.
Set action: deny in the PolicyLayer policy for trace_get. 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.
trace_get is provided by the Lore Context MCP server (Lore-Context/lore-context). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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