Retrieve a specific memory by ID
AI agents call retrieve_memory to retrieve information from SelfHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing personal data from memory storage by ID lookup, which is a read-only operation. It has no side effects, does not create, modify, or delete data, and does not execute arbitrary code. The operation is reversible in nature and poses minimal risk to system integrity.
From the tool's definition Tool name 'retrieve_memory' with description 'Retrieve a specific memory by ID' indicates a data retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Retrieve a specific memory by ID. It is categorised as a Read tool in the SelfHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the SelfHub MCP Server MCP server in PolicyLayer and add a rule for retrieve_memory: 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 SelfHub MCP Server. Nothing to install.
retrieve_memory 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 retrieve_memory 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 retrieve_memory. 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.
retrieve_memory is provided by the SelfHub MCP Server MCP server (sagargupta16/selfhub). 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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