Requests all card reviews for a specified deck after a certain time. startID is the latest unix time not included in the result. Returns a list of 9-tuples (reviewTime, cardID, usn, buttonPressed, newInterval, previousInterval, newFactor, reviewDuration, reviewType)
AI agents call card_reviews to retrieve information from Anki MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical review data from Anki without modifying, creating, deleting, or executing any operations. It is a straightforward read operation that queries card review records. No side effects or state changes occur. Severity is low because misuse would only expose review history data, which is non-sensitive application metadata without financial or destructive impact.
From the tool's definition Tool description states it 'Requests all card reviews for a specified deck' and 'Returns a list of 9-tuples' containing review metadata. The verb 'Requests' and 'Returns' indicate data retrieval with no modification.
Attacks that exploit this kind of access
Requests all card reviews for a specified deck after a certain time. startID is the latest unix time not included in the result. Returns a list of 9-tuples (reviewTime, cardID, usn, buttonPressed, newInterval, previousInterval, newFactor, reviewDuration, reviewType). It is categorised as a Read tool in the Anki MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Anki MCP Server MCP server in PolicyLayer and add a rule for card_reviews: 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 MCP Server. Nothing to install.
card_reviews 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 card_reviews 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 card_reviews. 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.
card_reviews is provided by the Anki MCP Server MCP server (loonskai/anki-mcp-server). 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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