memory_retrieve_records
AI agents call memory_retrieve_records to retrieve information from Amazon MQ MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name contains 'retrieve', which is a Read operation pattern (fetch, get, query, retrieve). Although the description is empty and this lowers confidence, the semantic meaning of 'retrieve_records' indicates querying or fetching data without side effects.
From the tool's definition Tool name 'memory_retrieve_records' suggests retrieval of records from memory or storage without modification. The naming pattern 'retrieve' is characteristic of Read operations.
Attacks that exploit this kind of access
memory_retrieve_records. It is categorised as a Read tool in the Amazon MQ MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for memory_retrieve_records: 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 Amazon MQ MCP Server. Nothing to install.
memory_retrieve_records 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_retrieve_records 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_retrieve_records. 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_retrieve_records is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.