checkpoint_delete

Delete a checkpoint to free resources. Each checkpoint consumes memory

Server Rr jnjaeschke/rr-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What checkpoint_delete does on Rr

AI agents call checkpoint_delete to permanently remove resources in Rr — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why checkpoint_delete needs a policy

Deleting checkpoints removes saved execution states that cannot be recovered. While the impact is scoped to debugging artifacts rather than production data, the action is irreversible and fits the Destructive category (irreversibly deletes data). Severity is high because loss of checkpoints could impede debugging workflow and analysis, though it does not affect production systems or have broader blast radius.

From the tool's definition Tool name: 'checkpoint_delete' with description: 'Delete a checkpoint to free resources.' The verb 'Delete' and action of removing checkpoints (which represent saved debugging states) indicates irreversible data removal.

Questions about checkpoint_delete

What does the checkpoint_delete tool do? +

Delete a checkpoint to free resources. Each checkpoint consumes memory. It is categorised as a Destructive tool in the Rr 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 checkpoint_delete? +

Register the Rr MCP server in PolicyLayer and add a rule for checkpoint_delete: 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 Rr. Nothing to install.

What risk level is checkpoint_delete? +

checkpoint_delete 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 checkpoint_delete? +

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

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

checkpoint_delete is provided by the Rr MCP server (jnjaeschke/rr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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