AI agents use update_quest to create or update resources in D&D MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your D&D MCP Server environment.
The 'update_quest' tool modifies existing quest records within a D&D campaign management system. This is a Write operation because it creates or modifies data reversibly—quests can be updated again or reverted. It is not Destructive (no deletion), Execute (no code execution), Read (modifies rather than retrieves), or Financial (no money movement).
From the tool's definition Tool name is 'update_quest' which indicates modification of quest data. The description is empty, so classification relies on the name and context of sibling tools that suggest CRUD operations on campaign entities.
Documented attack patterns abuse exactly the kind of access update_quest gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and D&D MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_quest:
{
"version": "1",
"default": "deny",
"tools": {
"update_quest": {
"limits": [
{
"counter": "update_quest_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_quest stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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update_quest. It is categorised as a Write tool in the D&D MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the D&D MCP Server MCP server in PolicyLayer and add a rule for update_quest: 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 D&D MCP Server. Nothing to install.
update_quest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_quest 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 update_quest. 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.
update_quest is provided by the D&D MCP Server MCP server (study-flamingo/gamemaster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from D&D MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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30 D&D MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.