Record a review result for a flashcard. This updates the spaced repetition schedule.
AI agents use review_flashcard to create or update resources in Flashcard MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Flashcard MCP environment.
The tool modifies flashcard data (spaced repetition schedule and review result) in a reversible way. It creates/updates scheduling metadata based on user performance, which is a write operation. No deletion, execution of code, or financial transaction is involved. Misuse has minimal blast radius since it only affects review scheduling for flashcards.
From the tool's definition Record a review result for a flashcard. This updates the spaced repetition schedule.
Attacks that exploit this kind of access
Record a review result for a flashcard. This updates the spaced repetition schedule. It is categorised as a Write tool in the Flashcard MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Flashcard MCP server in PolicyLayer and add a rule for review_flashcard: 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 Flashcard MCP. Nothing to install.
review_flashcard is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the review_flashcard 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 review_flashcard. 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.
review_flashcard is provided by the Flashcard MCP server (louislva/flashcards-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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