delete_observations

Delete specific observations from entities

SERVERMCP Memory Server with Qdrant Persistence SOURCEdelorenj/mcp-qdrant-memory

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/delorenj-mcp-qdrant-memory/delete-observations.md

WHAT IT DOES

What delete_observations does on MCP Memory Server with Qdrant Persistence

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

RISK

Why delete_observations is rated Critical

The tool permanently removes observation data from the knowledge graph. Deletion operations are irreversible and cannot be undone, placing this in the Destructive category. While the blast radius is contained to observations (not the entire graph), unauthorized deletion of knowledge graph data is a high-severity risk for data integrity and system reliability.

From the tool's definition Tool name 'delete_observations' and description 'Delete specific observations from entities' explicitly perform deletion, which is irreversible data removal.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delete_observations safely

PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Memory Server with Qdrant Persistence, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_observations, this is the rule to start with:

delete_observations Hidden

delete_observations is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

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

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect MCP Memory Server with Qdrant Persistence, apply this rule, and every delete_observations call is checked against it from then on.

FAQ

Questions about delete_observations

What does the delete_observations tool do? +

Delete specific observations from entities. It is categorised as a Destructive tool in the MCP Memory Server with Qdrant Persistence 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 MCP Memory Server with Qdrant Persistence 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 MCP Memory Server with Qdrant Persistence. 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 MCP Memory Server with Qdrant Persistence MCP server (delorenj/mcp-qdrant-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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