Delete a specific prompt version or all versions.
AI agents call delete_prompt to permanently remove resources in Langfuse Mcp Python — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes prompt versions from the system with no option to recover them. Deletion is an irreversible operation that destroys data, making it Destructive rather than Write. The high severity reflects the risk that an AI agent could accidentally or maliciously remove all versions of critical prompts used in production systems, disrupting dependent workflows.
From the tool's definition Tool name: 'delete_prompt'; description: 'Delete a specific prompt version or all versions.' The word 'Delete' indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a specific prompt version or all versions. It is categorised as a Destructive tool in the Langfuse Mcp Python MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Langfuse Mcp Python MCP server in PolicyLayer and add a rule for delete_prompt: 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 Langfuse Mcp Python. Nothing to install.
delete_prompt 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 delete_prompt 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 delete_prompt. 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.
delete_prompt is provided by the Langfuse Mcp Python MCP server (log-logn/langfuse-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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