delete_entry

Delete a decision, finding, or mistake by ID.

Server Project Brain pym2282/project-brain-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What delete_entry does on Project Brain

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

Why delete_entry needs a policy

This tool permanently deletes records from the project knowledge base without recovery mechanism. While the blast radius is limited to project documentation rather than production systems or financial assets, the action is irreversible and could cause significant harm if an AI agent deletes critical architectural decisions or lessons learned.

From the tool's definition Tool performs 'Delete a decision, finding, or mistake by ID' — an irreversible removal of data from the engineering memory system.

Questions about delete_entry

What does the delete_entry tool do? +

Delete a decision, finding, or mistake by ID. It is categorised as a Destructive tool in the Project Brain 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_entry? +

Register the Project Brain MCP server in PolicyLayer and add a rule for delete_entry: 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 Project Brain. Nothing to install.

What risk level is delete_entry? +

delete_entry 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_entry? +

Yes. Add a rate_limit block to the delete_entry 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_entry completely? +

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

delete_entry is provided by the Project Brain MCP server (pym2282/project-brain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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