List all saved training plans with summary metadata.
AI agents call list_training_plans to retrieve information from MCPacer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays training plan metadata without any side effects. It is purely informational and poses minimal risk if an AI agent invokes it, as it cannot alter data, execute commands, or trigger external operations. The worst-case scenario is unauthorized access to a user's training plans, which is a confidentiality concern but not a severe operational risk.
From the tool's definition Tool name contains 'list' and description states 'List all saved training plans with summary metadata' — a straightforward data retrieval operation with no modification, deletion, or execution capability.
Documented attack patterns abuse exactly the kind of access list_training_plans gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCPacer, and nothing reaches the server without passing your rules. This is the rule we recommend for list_training_plans:
{
"version": "1",
"default": "deny",
"tools": {
"list_training_plans": {}
}
}list_training_plans is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all saved training plans with summary metadata. It is categorised as a Read tool in the MCPacer MCP Server, which means it retrieves data without modifying state.
Register the MCPacer MCP server in PolicyLayer and add a rule for list_training_plans: 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 MCPacer. Nothing to install.
list_training_plans 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_training_plans 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_training_plans. 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_training_plans is provided by the MCPacer MCP server (wernerpe/mcpacer). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCPacer, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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32 MCPacer tools catalogued and risk-classified — across an index of 43,000+ MCP servers.