AI agents call search_notes to retrieve information from Tilnote without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
search_notes retrieves and queries existing note data based on keyword matching. It has no side effects, does not modify data, and does not trigger external operations. This is a pure read operation with minimal risk if misused by an AI agent.
From the tool's definition Tool description states 'Search your Tilnote notes by keyword' with no mention of modification, deletion, or execution.
Attacks that exploit this kind of access
Search your Tilnote notes by keyword (searches title and content). It is categorised as a Read tool in the Tilnote MCP Server, which means it retrieves data without modifying state.
Register the Tilnote MCP server in PolicyLayer and add a rule for search_notes: 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 Tilnote. Nothing to install.
search_notes 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 search_notes 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 search_notes. 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.
search_notes is provided by the Tilnote MCP server (wisdomcrane/tilnote-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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