AI agents call get_personal_notes to retrieve information from Mcp Pkm Logseq without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves personal notes from a Logseq knowledge management system. The description emphasizes 'retrieval' and the server operates via 'HTTP API' for read operations. There are no indications of side effects, modifications, or destructive actions. The main risk is information disclosure of sensitive personal notes, which is mitigated by access controls at the API level.
From the tool's definition Tool name 'get_personal_notes' and server description indicates 'retrieval of tagged notes' with no modification, creation, or deletion capabilities mentioned.
Documented attack patterns abuse exactly the kind of access get_personal_notes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Pkm Logseq, and nothing reaches the server without passing your rules. This is the rule we recommend for get_personal_notes:
{
"version": "1",
"default": "deny",
"tools": {
"get_personal_notes": {}
}
}get_personal_notes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_personal_notes. It is categorised as a Read tool in the Mcp Pkm Logseq MCP Server, which means it retrieves data without modifying state.
Register the Mcp Pkm Logseq MCP server in PolicyLayer and add a rule for get_personal_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 Mcp Pkm Logseq. Nothing to install.
get_personal_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 get_personal_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 get_personal_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.
get_personal_notes is provided by the Mcp Pkm Logseq MCP server (ruliana/mcp-pkm-logseq). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Pkm Logseq, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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3 Mcp Pkm Logseq tools catalogued and risk-classified — across an index of 43,000+ MCP servers.