Critical Risk →

delete_observations

Delete specific observations from entities in the knowledge graph

How to control delete_observations ↓

AI agents call delete_observations to permanently remove resources in Obsidian Memory MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

An AI agent that decides to call delete_observations doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Obsidian Memory MCP is gone — there is no undo for destructive operations.

Documented attack patterns abuse exactly the kind of access delete_observations gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Obsidian Memory MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for delete_observations:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_observations"
  ]
}

delete_observations disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Obsidian Memory MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RESTRICT THIS TOOL →

Free to start. No card required.

Go deeper

What does the delete_observations tool do? +

Delete specific observations from entities in the knowledge graph. It is categorised as a Destructive tool in the Obsidian Memory MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_observations? +

Register the Obsidian Memory MCP server in PolicyLayer and add a rule for delete_observations: 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 Obsidian Memory MCP. Nothing to install.

What risk level is delete_observations? +

delete_observations is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_observations? +

Yes. Add a rate_limit block to the delete_observations 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 delete_observations completely? +

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

delete_observations is provided by the Obsidian Memory MCP server (yunaga224/obsidian-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Obsidian Memory MCP tool call.

Deterministic rules across all 9 Obsidian Memory MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

9 Obsidian Memory MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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