AI agents invoke gandi_cert_resend_dcv to trigger actions in Gandi. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool triggers an external operation — resending a DCV (Domain Control Validation) email/request to validate domain ownership for a certificate. It does not read data, modify stored data, or delete anything, but it does trigger an external action whose effects (sending validation emails, potentially restarting validation timers) depend on the certificate in question.
From the tool's definition Resend the domain-control-validation request for a pending certificate
Attacks that exploit this kind of access
Resend the domain-control-validation request for a pending certificate. It is categorised as a Execute tool in the Gandi MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Gandi MCP server in PolicyLayer and add a rule for gandi_cert_resend_dcv: 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 Gandi. Nothing to install.
gandi_cert_resend_dcv is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the gandi_cert_resend_dcv 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 gandi_cert_resend_dcv. 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.
gandi_cert_resend_dcv is provided by the Gandi MCP server (millsymills-com/gandi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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