agentcore_memory

Documentation on AgentCore Memory for building context-aware agents.

Server AWS AgentCore MCP Server weiwarren/agentcore-mcp-server
Category Read
Risk class Low
Parameters 00 required

What agentcore_memory does on AWS AgentCore MCP Server

AI agents call agentcore_memory to retrieve information from AWS AgentCore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why agentcore_memory needs a policy

This tool retrieves or exposes documentation and reference material about AgentCore's memory subsystem. It does not create, modify, delete, execute code, or move money. It is purely informational, matching the Read category profile (search, list, get, fetch). The low severity reflects that misuse would only result in viewing documentation, with no operational side effects.

From the tool's definition Tool name 'agentcore_memory' and description 'Documentation on AgentCore Memory for building context-aware agents' indicate this provides information retrieval about memory management capabilities.

Questions about agentcore_memory

What does the agentcore_memory tool do? +

Documentation on AgentCore Memory for building context-aware agents. It is categorised as a Read tool in the AWS AgentCore MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on agentcore_memory? +

Register the AWS AgentCore MCP Server MCP server in PolicyLayer and add a rule for agentcore_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 AWS AgentCore MCP Server. Nothing to install.

What risk level is agentcore_memory? +

agentcore_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit agentcore_memory? +

Yes. Add a rate_limit block to the agentcore_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.

How do I block agentcore_memory completely? +

Set action: deny in the PolicyLayer policy for agentcore_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.

What MCP server provides agentcore_memory? +

agentcore_memory is provided by the AWS AgentCore MCP Server MCP server (weiwarren/agentcore-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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