Valida completamente um envio de e-mail transacional SEM enviá-lo (dry run). Verifica: status da definition (Active/Inactive), existência do asset no Content Builder, resolução recursiva de content blocks, atributos obrigatórios via análise AMPscript, guards RaiseError() que bloqueiam o envio, e ...
Part of the Ljit Mcp Sfmc server.
Free to start. No card required.
AI agents invoke txn_preflight_email to trigger processes or run actions in Ljit Mcp Sfmc. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
txn_preflight_email can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"txn_preflight_email": {
"limits": [
{
"counter": "txn_preflight_email_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} See the full Ljit Mcp Sfmc policy for all 40 tools.
These attack patterns abuse exactly the kind of access txn_preflight_email gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Valida completamente um envio de e-mail transacional SEM enviá-lo (dry run). Verifica: status da definition (Active/Inactive), existência do asset no Content Builder, resolução recursiva de content blocks, atributos obrigatórios via análise AMPscript, guards RaiseError() que bloqueiam o envio, e normalização de nomes de atributos contra o schema da DE. Retorna passed=true/false, errors[] (bloqueantes), warnings[] (não-bloqueantes), normalizedAttributes (atributos com nomes corrigidos prontos para uso) e requiredAttributes. Use antes de txn_send_email para garantir que o payload está correto. Quando generateMock=true, gera automaticamente um payload de teste sintético em mockPayload — usa row-sample da DE apenas para inferir tipos de campo, sem copiar valores reais.. It is categorised as a Execute tool in the Ljit Mcp Sfmc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ljit Mcp Sfmc MCP server in PolicyLayer and add a rule for txn_preflight_email: 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 Ljit Mcp Sfmc. Nothing to install.
txn_preflight_email 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 txn_preflight_email 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 txn_preflight_email. 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.
txn_preflight_email is provided by the Ljit Mcp Sfmc MCP server (ljit-mcp-sfmc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 40 Ljit Mcp Sfmc tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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