AI agents call get_note to retrieve information from Zk without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns data from an existing note without creating, modifying, deleting, or executing any operations. It is a straightforward read operation on a local knowledge base, posing minimal security risk even if invoked by an AI agent.
From the tool's definition Tool name 'get_note' and description 'Read and return the contents of the note at the specified path' clearly indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Read and return the contents of the note at the specified path. It is categorised as a Read tool in the Zk MCP Server, which means it retrieves data without modifying state.
Register the Zk MCP server in PolicyLayer and add a rule for get_note: 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 Zk. Nothing to install.
get_note 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_note 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_note. 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_note is provided by the Zk MCP server (koei-kaji/zk-mcp). 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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