prune_memories

Identify and remove low-value memories to optimize storage and improve retrieval relevance.

Server ThoughtMCP keyurgolani/thoughtmcp
Category Destructive
Risk class Critical
Parameters 00 required

What prune_memories does on ThoughtMCP

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

Why prune_memories needs a policy

This tool performs an irreversible deletion operation on stored data (memories). Although the deletion targets 'low-value' items (implying some filtering logic), the tool fundamentally removes data that cannot be undone. This places it in the Destructive category rather than Write, as Write operations are reversible.

From the tool's definition The tool description states it will 'remove low-value memories,' and the name 'prune_memories' explicitly indicates deletion of memory entries.

Questions about prune_memories

What does the prune_memories tool do? +

Identify and remove low-value memories to optimize storage and improve retrieval relevance. It is categorised as a Destructive tool in the ThoughtMCP 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 prune_memories? +

Register the Thought MCP server in PolicyLayer and add a rule for prune_memories: 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 ThoughtMCP. Nothing to install.

What risk level is prune_memories? +

prune_memories 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 prune_memories? +

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

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

prune_memories is provided by the Thought MCP server (keyurgolani/thoughtmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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