analyze_difficulty

Analyze current level difficulty and characteristics

Server Ice Puzzle wmoten/ice-puzzle-mcp
Category Read
Risk class Low
Parameters 00 required

What analyze_difficulty does on Ice Puzzle

AI agents call analyze_difficulty 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.

Why analyze_difficulty needs a policy

The tool performs analysis and assessment of existing level data, returning computed difficulty metrics and characteristics. This is a read-only operation that retrieves or computes information about a level without modifying, creating, or deleting any data. No irreversible changes, code execution, or financial operations are involved.

From the tool's definition Tool name 'analyze_difficulty' and description 'Analyze current level difficulty and characteristics' indicate a query/analysis operation with no side effects.

Questions about analyze_difficulty

What does the analyze_difficulty tool do? +

Analyze current level difficulty and characteristics. It is categorised as a Read tool in the Ice Puzzle MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_difficulty? +

Register the Ice Puzzle MCP server in PolicyLayer and add a rule for analyze_difficulty: 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.

What risk level is analyze_difficulty? +

analyze_difficulty is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit analyze_difficulty? +

Yes. Add a rate_limit block to the analyze_difficulty 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.

How do I block analyze_difficulty completely? +

Set action: deny in the PolicyLayer policy for analyze_difficulty. 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.

What MCP server provides analyze_difficulty? +

analyze_difficulty 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.

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