AI agents call get_memory_info to retrieve information from DeviceMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves memory information without modifying or executing anything. It is a read-only query of system state, consistent with other info-gathering tools on the same server. No side effects or state changes occur. Confidence is slightly reduced due to empty tool description, but sibling tools and server description strongly indicate informational retrieval only.
From the tool's definition Tool name 'get_memory_info' and server description indicating it retrieves 'memory details' as part of 'cross-platform device information'.
Attacks that exploit this kind of access
get_memory_info. It is categorised as a Read tool in the DeviceMCP MCP Server, which means it retrieves data without modifying state.
Register the Device MCP server in PolicyLayer and add a rule for get_memory_info: 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 DeviceMCP. Nothing to install.
get_memory_info 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 get_memory_info 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 get_memory_info. 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.
get_memory_info is provided by the Device MCP server (jahidhasanco/devicemcp). 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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