AI agents call get_linking_notes 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 information about note links/relationships without modifying any data. It fits the Read category as a data retrieval operation with no side effects. Severity is low because retrieving link metadata from a local knowledge base poses minimal risk if misused by an AI agent.
From the tool's definition Tool name 'get_linking_notes' indicates retrieval of linking relationships between notes. The server description emphasizes 'search, read, create, and manage notes' with 'link analysis' as a core capability.
Attacks that exploit this kind of access
get_linking_notes. 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_linking_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. Nothing to install.
get_linking_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_linking_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_linking_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_linking_notes 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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