Fill a rectangular region with a tile type. Auto-solves.
AI agents use fill_region to create or update resources in Ice Puzzle — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ice Puzzle environment.
This tool modifies level data by filling regions with tile types, which is a reversible write operation typical of level design tools. While it includes an auto-solve component (Execute-like), the primary action is creating/modifying game state rather than running arbitrary code.
From the tool's definition Tool description states 'Fill a rectangular region with a tile type', which is a creation/modification action.
Attacks that exploit this kind of access
Fill a rectangular region with a tile type. Auto-solves. It is categorised as a Write tool in the Ice Puzzle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ice Puzzle MCP server in PolicyLayer and add a rule for fill_region: 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.
fill_region 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 fill_region 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 fill_region. 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.
fill_region 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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