This record as markdown: /tools/3mdistal-css-mcp-server/read-from-memory.md
What read_from_memory does on Css Tutor
AI agents call read_from_memory to retrieve information from Css Tutor without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why read_from_memory is rated Low
This tool retrieves stored user data (knowledge state, preferences, history) from memory without modifying it. Reading user state is essential for providing personalized tutoring and poses no risk of data loss, financial impact, or unintended execution. The low severity reflects that misuse would only expose already-stored user information rather than cause damage.
From the tool's definition Tool name is 'read_from_memory' and description indicates it 'Reads the user' - a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs read_from_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Css Tutor, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For read_from_memory, this is the rule to start with:
read_from_memory is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Css Tutor, apply this rule, and every read_from_memory call is checked against it from then on.
Questions about read_from_memory
Reads the user. It is categorised as a Read tool in the Css Tutor MCP Server, which means it retrieves data without modifying state.
Register the Css Tutor MCP server in PolicyLayer and add a rule for read_from_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 Css Tutor. Nothing to install.
read_from_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 read_from_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 read_from_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.
read_from_memory is provided by the Css Tutor MCP server (3mdistal/css-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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