secret_delete
Delete an EasyBits Secret by name. Any pending or future
This record as markdown: /tools/cloud-easybits-easybits/secret-delete.md
What secret_delete does on EasyBits
AI agents call secret_delete to permanently remove resources in EasyBits, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why secret_delete is rated Critical
Irreversibly removes secrets; cannot be undone and impacts authentication/credentials.
From the tool's definition Delete an EasyBits Secret by name.
Attacks that exploit this kind of access
The rule that runs secret_delete safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For secret_delete, this is the rule to start with:
secret_delete 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 EasyBits, apply this rule, and every secret_delete call is checked against it from then on.
Questions about secret_delete
Delete an EasyBits Secret by name. Any pending or future. It is categorised as a Destructive tool in the EasyBits MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the EasyBits MCP server in PolicyLayer and add a rule for secret_delete: 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 EasyBits. Nothing to install.
secret_delete 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 secret_delete 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 secret_delete. 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.
secret_delete is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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