get_item

get_item

Server MCP Server Learning xstraven/mcp-server-learning
Category Read
Risk class Low
Parameters 00 required

What get_item does on MCP Server Learning

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

Why get_item needs a policy

The 'get_' prefix is a standard convention for read operations. The presence of write/delete operations as separate sibling tools (create_item, delete_notes) supports the inference that get_item retrieves data without side effects. The educational context (flashcards, libraries, vaults) makes destructive misuse unlikely from this retrieval tool.

From the tool's definition Tool name 'get_item' suggests retrieval without modification. Sibling tools include 'create_item', 'add_item_to_collection', 'delete_notes', and 'create_cards', establishing a pattern where 'get_' prefixed tools are read operations (contrast with 'create_',…

Questions about get_item

What does the get_item tool do? +

get_item. It is categorised as a Read tool in the MCP Server Learning MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_item? +

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

What risk level is get_item? +

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

Can I rate-limit get_item? +

Yes. Add a rate_limit block to the get_item 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_item completely? +

Set action: deny in the PolicyLayer policy for get_item. 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_item? +

get_item is provided by the MCP Server Learning MCP server (xstraven/mcp-server-learning). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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