Prune and optimize the thought graph. Remove dead ends, consolidate redundant branches, and optimize reasoning paths. Helps maintain graph efficiency during deep reasoning.
AI agents call prune to permanently remove resources in Deep Thinker — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool irreversibly removes nodes and branches from the thought graph ('remove dead ends', 'consolidate redundant branches'). While the data is internal reasoning state rather than user files, the removal is described as permanent pruning with no mention of undo capability. This qualifies as Destructive.
From the tool's definition 'Remove dead ends', 'prune and optimize the thought graph' — explicitly removes nodes/branches from the graph
Documented attack patterns abuse exactly the kind of access prune gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Deep Thinker, and nothing reaches the server without passing your rules. This is the rule we recommend for prune:
{
"version": "1",
"default": "deny",
"hide": [
"prune"
]
}prune disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Prune and optimize the thought graph. Remove dead ends, consolidate redundant branches, and optimize reasoning paths. Helps maintain graph efficiency during deep reasoning. It is categorised as a Destructive tool in the Deep Thinker MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Deep Thinker MCP server in PolicyLayer and add a rule for prune: 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 Deep Thinker. Nothing to install.
prune 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 prune 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 prune. 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.
prune is provided by the Deep Thinker MCP server (nachosystems/deep-thinker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Deep Thinker, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
17 Deep Thinker tools catalogued and risk-classified — across an index of 43,000+ MCP servers.