AI agents call list_checkpoints to retrieve information from MCP Conductor without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and enumerates checkpoint data without creating, modifying, deleting, or executing operations. It is a simple read operation that queries the state of the orchestration system's checkpoint storage. The blast radius of misuse is minimal - an agent could only gain visibility into existing checkpoints, not manipulate them.
From the tool's definition Tool name is 'list_checkpoints' and description states 'List all available real checkpoints' - this is a query/listing operation with no modification or execution of side effects.
Documented attack patterns abuse exactly the kind of access list_checkpoints gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Conductor, and nothing reaches the server without passing your rules. This is the rule we recommend for list_checkpoints:
{
"version": "1",
"default": "deny",
"tools": {
"list_checkpoints": {}
}
} list_checkpoints 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 available real checkpoints. It is categorised as a Read tool in the MCP Conductor MCP Server, which means it retrieves data without modifying state.
Register the MCP Conductor MCP server in PolicyLayer and add a rule for list_checkpoints: 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 Conductor. Nothing to install.
list_checkpoints 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_checkpoints 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_checkpoints. 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_checkpoints is provided by the MCP Conductor MCP server (lutherscottgarcia/mcp-conductor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Conductor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 MCP Conductor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.