get_leeches

Get problematic items that need extra practice

Server WaniKani MCP Server jackedney/wanikani-mcp
Category Read
Risk class Low
Parameters 00 required

What get_leeches does on WaniKani MCP Server

AI agents call get_leeches to retrieve information from WaniKani MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_leeches needs a policy

This tool retrieves data about the user's problematic WaniKani items ('leeches' are items that users struggle with). It performs no side effects—no data is created, modified, deleted, or executed. This is a straightforward Read operation that queries existing learning progress information to support personalized learning recommendations.

From the tool's definition Tool name 'get_leeches' and description 'Get problematic items that need extra practice' indicate data retrieval with no modification.

Questions about get_leeches

What does the get_leeches tool do? +

Get problematic items that need extra practice. It is categorised as a Read tool in the WaniKani MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_leeches? +

Register the WaniKani MCP Server MCP server in PolicyLayer and add a rule for get_leeches: 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 WaniKani MCP Server. Nothing to install.

What risk level is get_leeches? +

get_leeches is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_leeches? +

Yes. Add a rate_limit block to the get_leeches 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.

How do I block get_leeches completely? +

Set action: deny in the PolicyLayer policy for get_leeches. 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.

What MCP server provides get_leeches? +

get_leeches is provided by the WaniKani MCP Server MCP server (jackedney/wanikani-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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