Check for pending updates from external agents. WHEN TO CALL: - At the start of each scene/turn - Before making major narrative decisions - Periodically during long sessions Returns all pending updates, prioritized by urgency. Use acknowledge_update, apply_update, or reject_update to process them.
AI agents call get_pending_updates 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 retrieves data about pending updates without modifying, deleting, or executing any changes. It is a passive query operation that allows the DM agent to check for information from external agents before deciding what action to take.
From the tool's definition Tool description states it 'Check[s] for pending updates' and 'Returns all pending updates' - purely retrieval operations with no side effects.
Documented attack patterns abuse exactly the kind of access get_pending_updates 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 get_pending_updates:
{
"version": "1",
"default": "deny",
"tools": {
"get_pending_updates": {}
}
}get_pending_updates is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check for pending updates from external agents. WHEN TO CALL: - At the start of each scene/turn - Before making major narrative decisions - Periodically during long sessions Returns all pending updates, prioritized by urgency. Use acknowledge_update, apply_update, or reject_update to process them. 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 get_pending_updates: 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.
get_pending_updates 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 get_pending_updates 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 get_pending_updates. 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.
get_pending_updates 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.