delete_instance_memory
Delete one memory entry (by key) from a subscribed instance.
This record as markdown: /tools/io-github-proagentstore-platform/delete-instance-memory.md
What delete_instance_memory does on ProAgentStore
AI agents call delete_instance_memory to permanently remove resources in ProAgentStore, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why delete_instance_memory is rated Critical
Irreversibly removes data from an instance with no undo capability; cannot be reversed without external intervention.
From the tool's definition Delete one memory entry (by key) from a subscribed instance.
Attacks that exploit this kind of access
The rule that runs delete_instance_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_instance_memory, this is the rule to start with:
delete_instance_memory is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect ProAgentStore, apply this rule, and every delete_instance_memory call is checked against it from then on.
Questions about delete_instance_memory
Delete one memory entry (by key) from a subscribed instance. It is categorised as a Destructive tool in the ProAgentStore MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for delete_instance_memory: 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 ProAgentStore. Nothing to install.
delete_instance_memory 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_instance_memory 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_instance_memory. 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_instance_memory is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on ProAgentStore, and thousands of servers like it.
Across the catalogue