Get help understanding how to use the Smart Prompts tools effectively. Returns guidance on tool usage, examples, and best practices.
AI agents call prompts_help to retrieve information from Smart Prompts MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a help/documentation tool that retrieves and presents usage information about other tools. It has no side effects, does not modify data, and does not execute code or trigger external operations. It fits the 'Read' category as a query that retrieves static help content.
From the tool's definition Tool returns guidance, examples, and best practices documentation without modifying any data or executing external operations. The description indicates it 'Get[s] help' and 'Returns guidance' — purely informational retrieval.
Documented attack patterns abuse exactly the kind of access prompts_help gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Smart Prompts MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for prompts_help:
{
"version": "1",
"default": "deny",
"tools": {
"prompts_help": {}
}
} prompts_help is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get help understanding how to use the Smart Prompts tools effectively. Returns guidance on tool usage, examples, and best practices. It is categorised as a Read tool in the Smart Prompts MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Smart Prompts MCP Server MCP server in PolicyLayer and add a rule for prompts_help: 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 Smart Prompts MCP Server. Nothing to install.
prompts_help 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 prompts_help 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 prompts_help. 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.
prompts_help is provided by the Smart Prompts MCP Server MCP server (jezweb/smart-prompts-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Smart Prompts MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Smart Prompts MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.