Delete specific observations from entities in the knowledge graph
AI agents call delete_observations to permanently remove resources in WebDAV MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly deletes data (observations) from a persistent knowledge graph. Deletion operations that cannot be undone fall under the Destructive category. While the blast radius may be limited to specific observations rather than entire entities or systems, the irreversible nature and potential for unintended data loss in a knowledge graph warrants high severity.
From the tool's definition Tool name is 'delete_observations' which performs deletion; description states 'Delete specific observations from entities' indicating irreversible removal of data from the knowledge graph.
Attacks that exploit this kind of access
Delete specific observations from entities in the knowledge graph. It is categorised as a Destructive tool in the WebDAV MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the WebDAV MCP Server 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 WebDAV MCP Server. Nothing to install.
delete_observations is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
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.
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.
delete_observations is provided by the WebDAV MCP Server MCP server (masx200/mcp-webdav-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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