AI agents call list-prompts to retrieve information from MCP Prompt Manager without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation by listing and retrieving metadata about prompts. It has no side effects, does not modify data, execute code, delete anything, or commit financial actions. The blast radius of misuse is minimal—an agent could only discover what prompts exist in the local system.
From the tool's definition Tool name is 'list-prompts' and description states 'List all available prompts with metadata' — a query operation that retrieves and displays existing data without modification or execution.
Documented attack patterns abuse exactly the kind of access list-prompts gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Prompt Manager, and nothing reaches the server without passing your rules. This is the rule we recommend for list-prompts:
{
"version": "1",
"default": "deny",
"tools": {
"list-prompts": {}
}
}list-prompts is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
List all available prompts with metadata. It is categorised as a Read tool in the MCP Prompt Manager MCP Server, which means it retrieves data without modifying state.
Register the MCP Prompt Manager MCP server in PolicyLayer and add a rule for list-prompts: 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 MCP Prompt Manager. Nothing to install.
list-prompts 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 list-prompts 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 list-prompts. 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.
list-prompts is provided by the MCP Prompt Manager MCP server (tae4an/mcp-prompt-manager). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Prompt Manager, 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.
33 MCP Prompt Manager tools catalogued and risk-classified — across an index of 43,000+ MCP servers.