Create a new snippet with Handlebars templating support
AI agents use create_snippet to create or update resources in Iterable MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Iterable MCP Server environment.
This tool creates new marketing content snippets reversibly. While snippets can influence campaign content and recipient communications, creation itself is a reversible write operation.
From the tool's definition Tool name 'create_snippet' and description 'Create a new snippet' indicate creation of new data. The mention of 'Handlebars templating support' shows it stores templated content that can be reused in marketing campaigns.
Documented attack patterns abuse exactly the kind of access create_snippet gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Iterable MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_snippet:
{
"version": "1",
"default": "deny",
"tools": {
"create_snippet": {
"limits": [
{
"counter": "create_snippet_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_snippet stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new snippet with Handlebars templating support. It is categorised as a Write tool in the Iterable MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for create_snippet: 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 Iterable MCP Server. Nothing to install.
create_snippet is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_snippet 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 create_snippet. 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.
create_snippet is provided by the Iterable MCP Server MCP server (iterable/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Iterable MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
78 Iterable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.