List campaign level examples by difficulty tier (easy/medium/hard) with solver solutions
AI agents call list_campaign_examples to retrieve information from Ice Puzzle without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries campaign examples grouped by difficulty — a read-only operation with no side effects, data modification, code execution, or destructive capability. The exposure of example solutions poses minimal security risk as they are instructional materials. Low severity reflects the informational nature of the data returned.
From the tool's definition Tool name 'list_campaign_examples' and description 'List campaign level examples by difficulty tier (easy/medium/hard) with solver solutions' indicate retrieval and display of existing example data without modification.
Attacks that exploit this kind of access
List campaign level examples by difficulty tier (easy/medium/hard) with solver solutions. It is categorised as a Read tool in the Ice Puzzle MCP Server, which means it retrieves data without modifying state.
Register the Ice Puzzle MCP server in PolicyLayer and add a rule for list_campaign_examples: 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 Ice Puzzle. Nothing to install.
list_campaign_examples 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_campaign_examples 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_campaign_examples. 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_campaign_examples is provided by the Ice Puzzle MCP server (wmoten/ice-puzzle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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