Check if context needs to be saved. Returns a reminder if it
AI agents call check_context_freshness 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 or queries the state of game context (whether it needs saving) and returns informational output without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal security risk to the game state or system.
From the tool's definition Tool name 'check_context_freshness' and description 'Check if context needs to be saved. Returns a reminder' indicate a query/status check operation with no modification or execution of external systems.
Documented attack patterns abuse exactly the kind of access check_context_freshness 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 check_context_freshness:
{
"version": "1",
"default": "deny",
"tools": {
"check_context_freshness": {}
}
}check_context_freshness is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check if context needs to be saved. Returns a reminder if it. 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 check_context_freshness: 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.
check_context_freshness 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 check_context_freshness 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 check_context_freshness. 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.
check_context_freshness 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.
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204 DMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.