get_note

get_note

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

What get_note does on MCP Server Learning

AI agents call get_note 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_note needs a policy

The tool name 'get_note' following standard REST/API naming conventions indicates a read/retrieval operation that fetches note data without modification. This aligns with the educational learning context (Obsidian vault interaction, Zotero management) where retrieving note content is a common non-destructive operation.

From the tool's definition Tool name 'get_note' with no description provided. Sibling tools on the server include read operations like 'extract_note_blocks', 'extract_note_headers', and 'get_backlinks', and write operations like 'create_item', 'create_cards', and 'delete_notes'.

Questions about get_note

What does the get_note tool do? +

get_note. 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_note? +

Register the MCP Server Learning MCP server in PolicyLayer and add a rule for get_note: 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_note? +

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

Can I rate-limit get_note? +

Yes. Add a rate_limit block to the get_note 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_note completely? +

Set action: deny in the PolicyLayer policy for get_note. 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_note? +

get_note 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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