delete_observations

THE RISK

Critical Risk

Why delete_observations needs a policy

This tool irreversibly removes data (observations) from a persistent knowledge graph stored on disk. Once deleted, observations cannot be recovered through normal tool operations.

From the tool's definition Tool name is 'delete_observations' and description states it 'Delete[s] specific observations from entities in the project knowledge graph'. The verb 'delete' indicates irreversible removal of data.

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

POLICY

How to control delete_observations

PolicyLayer is an MCP gateway — it sits between your AI agents and Xgmem, 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.

Create a free account and register Xgmem — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RESTRICT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Xgmem tools

Destructive delete_entities Delete multiple entities and their associated relations from the project knowledge graph Destructive delete_relations Delete multiple relations from the project knowledge graph Write add_graph_observations Add new observations to existing entities in the project knowledge graph. Write copy_memory Copy memory entities and their relations from one project to another Write create_entities Create multiple new entities in the project knowledge graph Write create_relations Create multiple new relations between entities in the project knowledge graph Write save_project_observations Save observations for a project to a separate file in the format { projectId, observations Read get_project_observations Get all observations saved in the separate file for a given projectId.

All 14 Xgmem tools →

Destructive tools on other servers

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Go deeper

Critical-risk tools in Xgmem → Every critical-risk tool this server exposes, in one view.
All critical-risk MCP tools → Every critical-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Blast radius → How much damage one compromised or confused agent can do — and how to bound it.
Tool call approval → Approval gates on individual tool calls: auto-allow, prompt, or deny.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about delete_observations

What does the delete_observations tool do? +

Delete specific observations from entities in the project knowledge graph. It is categorised as a Destructive tool in the Xgmem 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 Xgmem 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 Xgmem. 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 Xgmem MCP server (meetdhanani17/xgmem). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Xgmem tool call.

Start from Xgmem, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →