Assemble a structured reasoning brief from retrieved memories. Returns evidence + a synthesis rubric — the CALLING AGENT does the synthesis using its own intelligence (no nested LLM call). Use for questions like
AI agents call memory_reason to retrieve information from Exocortex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
memory_reason retrieves and structures existing memories for presentation to the calling agent. It performs no data modification, deletion, or external operations. The calling agent is responsible for synthesis logic, making this a read-only data retrieval operation. Confidence is high due to explicit description indicating retrieval without side effects.
From the tool's definition Tool description states it 'Assemble[s] a structured reasoning brief from retrieved memories' and 'Returns evidence + a synthesis rubric' — pure retrieval and assembly of existing data with no modification, deletion, or external operation.
Attacks that exploit this kind of access
Assemble a structured reasoning brief from retrieved memories. Returns evidence + a synthesis rubric — the CALLING AGENT does the synthesis using its own intelligence (no nested LLM call). Use for questions like. It is categorised as a Read tool in the Exocortex MCP Server, which means it retrieves data without modifying state.
Register the Exocortex MCP server in PolicyLayer and add a rule for memory_reason: 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 Exocortex. Nothing to install.
memory_reason 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 memory_reason 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 memory_reason. 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.
memory_reason is provided by the Exocortex MCP server (shawnhack/exocortex). 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.
Teams ship this data inside their own products. See what a licence covers →