Critical Risk →

arango_delete_index

Delete an index from a collection

Risk signalsRemoves indexes affecting query performance

Part of the Pypi:mcp Arangodb Async server.

arango_delete_index can permanently delete data in Pypi:mcp Arangodb Async, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call arango_delete_index to permanently remove or destroy resources in Pypi:mcp Arangodb Async. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call arango_delete_index in a loop, permanently destroying resources in Pypi:mcp Arangodb Async. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

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

See the full Pypi:mcp Arangodb Async policy for all 46 tools.

Get this rule live on your own Pypi:mcp Arangodb Async server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access arango_delete_index gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so arango_delete_index only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the arango_delete_index tool do? +

Delete an index from a collection. It is categorised as a Destructive tool in the Pypi:mcp Arangodb Async 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 arango_delete_index? +

Register the Pypi:mcp Arangodb Async MCP server in PolicyLayer and add a rule for arango_delete_index: 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 Pypi:mcp Arangodb Async. Nothing to install.

What risk level is arango_delete_index? +

arango_delete_index 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 arango_delete_index? +

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

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

arango_delete_index is provided by the Pypi:mcp Arangodb Async MCP server (PCfVW/mcp-arangodb-async). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:mcp Arangodb Async tool call.

Deterministic rules across all 46 Pypi:mcp Arangodb Async tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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