AI agents call get_related_notes to retrieve information from Zk Utils without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The naming pattern 'get_related_notes' strongly suggests querying and returning related notes without modification or side effects. No description is provided, but the server context (zk note management focused on search and analysis) and consistent pattern with sibling read-only tools support a Read classification.
From the tool's definition Tool name 'get_related_notes' indicates a retrieval operation. Server description emphasizes 'note search' and 'link analysis' as core functions.
Attacks that exploit this kind of access
get_related_notes. It is categorised as a Read tool in the Zk Utils MCP Server, which means it retrieves data without modifying state.
Register the Zk Utils MCP server in PolicyLayer and add a rule for get_related_notes: 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 Utils. Nothing to install.
get_related_notes 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_related_notes 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_related_notes. 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_related_notes is provided by the Zk Utils MCP server (koei-kaji/zk-utils). 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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