List proposal presets shipped with this server. Each preset is a reusable scaffold — line items, pricing, and block content — that plutio_proposal_from_preset will instantiate as a real Plutio proposal. Call this first to discover what
AI agents call plutio_list_proposal_presets to retrieve information from Plutio without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a purely informational read operation that retrieves and enumerates proposal preset templates. It does not create, modify, delete, execute code, or trigger external operations. The data returned is configuration/reference data used to inform subsequent actions.
From the tool's definition Tool name contains 'list' and description states it 'List[s] proposal presets' — a retrieval operation with no modification. The description explicitly indicates this discovers available presets for use by another tool, with no side effects.
Documented attack patterns abuse exactly the kind of access plutio_list_proposal_presets gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Plutio, and nothing reaches the server without passing your rules. This is the rule we recommend for plutio_list_proposal_presets:
{
"version": "1",
"default": "deny",
"tools": {
"plutio_list_proposal_presets": {}
}
}plutio_list_proposal_presets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List proposal presets shipped with this server. Each preset is a reusable scaffold — line items, pricing, and block content — that plutio_proposal_from_preset will instantiate as a real Plutio proposal. Call this first to discover what. It is categorised as a Read tool in the Plutio MCP Server, which means it retrieves data without modifying state.
Register the Plutio MCP server in PolicyLayer and add a rule for plutio_list_proposal_presets: 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 Plutio. Nothing to install.
plutio_list_proposal_presets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the plutio_list_proposal_presets 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 plutio_list_proposal_presets. 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.
plutio_list_proposal_presets is provided by the Plutio MCP server (thecreativelabs/plutio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Plutio, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 Plutio tools catalogued and risk-classified — across an index of 43,000+ MCP servers.