List characters in a game. Use verbosity to control response size:
AI agents call list_characters to retrieve information from DMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns character data without creating, modifying, deleting, or executing operations. It is a straightforward read operation typical of game state inspection in an RPG management system.
From the tool's definition Tool name 'list_characters' and description 'List characters in a game' clearly indicate data retrieval. The verbosity parameter controls output size, not modification. No side effects or state changes.
Documented attack patterns abuse exactly the kind of access list_characters gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_characters:
{
"version": "1",
"default": "deny",
"tools": {
"list_characters": {}
}
}list_characters 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 characters in a game. Use verbosity to control response size:. It is categorised as a Read tool in the DMCP MCP Server, which means it retrieves data without modifying state.
Register the D MCP server in PolicyLayer and add a rule for list_characters: 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 DMCP. Nothing to install.
list_characters 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_characters 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_characters. 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_characters is provided by the D MCP server (shawnrushefsky/dmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DMCP, 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.
204 DMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.