Get frontmatter properties of a note.
AI agents call get_note_properties to retrieve information from Graph Rag Obsidian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata (frontmatter) from an existing note without altering, executing, or deleting anything. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'get_note_properties' and description states 'Get frontmatter properties of a note' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get frontmatter properties of a note. It is categorised as a Read tool in the Graph Rag Obsidian MCP Server, which means it retrieves data without modifying state.
Register the Graph Rag Obsidian MCP server in PolicyLayer and add a rule for get_note_properties: 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 Graph Rag Obsidian. Nothing to install.
get_note_properties 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 get_note_properties 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 get_note_properties. 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.
get_note_properties is provided by the Graph Rag Obsidian MCP server (nickshffer/graph-rag-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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