memory_update
AI agents use memory_update to create or update resources in Awslabs Valkey — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Awslabs Valkey environment.
The tool name 'memory_update' clearly suggests writing or modifying data in a cache or in-memory database system. This is a reversible data modification operation (Write category), not a destructive delete or irreversible operation. Severity is medium because unauthorized updates to cached data could corrupt application state, but the impact depends on what data is being updated and how the application uses it.
From the tool's definition Tool name 'memory_update' indicates modification of in-memory data store (Valkey/Redis). Server is ElastiCache/MemoryDB which provides managed caching/in-memory database services. Description is empty, reducing specificity.
Attacks that exploit this kind of access
memory_update. It is categorised as a Write tool in the Awslabs Valkey MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for memory_update: 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 Awslabs Valkey. Nothing to install.
memory_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the memory_update 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_update. 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_update is provided by the Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.