This record as markdown: /tools/io-github-devopam-mcpg/drop-subscription.md
What drop_subscription does on Mcpg
AI agents call drop_subscription to permanently remove resources in Mcpg, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why drop_subscription is rated Critical
The 'drop' verb combined with 'subscription' indicates this tool removes a subscription object irreversibly. While the empty description reduces confidence slightly, PostgreSQL naming conventions consistently use 'DROP' for permanent deletion operations. This is more severe than Write (reversible modification) and reaches Destructive category.
From the tool's definition Tool name 'drop_subscription' with 'drop' prefix indicates irreversible deletion operation. In PostgreSQL context, 'drop' commands delete database objects permanently.
Attacks that exploit this kind of access
The rule that runs drop_subscription safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For drop_subscription, this is the rule to start with:
drop_subscription is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every drop_subscription call is checked against it from then on.
Questions about drop_subscription
drop_subscription is a destructive tool on the Mcpg MCP server. It is categorised as a Destructive tool in the Mcpg MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Mcpg MCP server in PolicyLayer and add a rule for drop_subscription: 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 Mcpg. Nothing to install.
drop_subscription 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 drop_subscription 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 drop_subscription. 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.
drop_subscription is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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