AI agents call get_notes to retrieve information from Anki without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries note data from Anki by ID. It has no side effects, does not modify state, and does not execute code or trigger external operations. It is purely informational, fitting the Read category with low severity since misuse would only expose existing data, not cause operational damage or data loss.
From the tool's definition Tool name 'get_notes' and description 'Read concrete note fields and metadata by note ID' explicitly indicate data retrieval without modification.
Attacks that exploit this kind of access
Read concrete note fields and metadata by note ID. It is categorised as a Read tool in the Anki MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP server in PolicyLayer and add a rule for get_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 Anki. Nothing to install.
get_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_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_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_notes is provided by the Anki MCP server (yama662607/anki-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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