stack.dryrun_log

stack.dryrun_log

Server Arr Stack new-usemame/arr-stack-mcp
Category Read
Risk class Low
Parameters 00 required

What stack.dryrun_log does on Arr Stack

AI agents call stack.dryrun_log to retrieve information from Arr Stack without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why stack.dryrun_log needs a policy

The name 'dryrun_log' implies accessing historical or simulated execution logs for review purposes. A dry-run typically does not have persistent side effects, and accessing logs is a read-like operation. However, confidence is moderate (0.6) due to the empty description leaving room for interpretation about whether this might trigger any external operations or side effects.

From the tool's definition Tool name 'dryrun_log' suggests retrieving or querying log output from a dry-run simulation, with no indication of data modification or destruction.

Questions about stack.dryrun_log

What does the stack.dryrun_log tool do? +

stack.dryrun_log. It is categorised as a Read tool in the Arr Stack MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stack.dryrun_log? +

Register the Arr Stack MCP server in PolicyLayer and add a rule for stack.dryrun_log: 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 Arr Stack. Nothing to install.

What risk level is stack.dryrun_log? +

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

Can I rate-limit stack.dryrun_log? +

Yes. Add a rate_limit block to the stack.dryrun_log 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 stack.dryrun_log completely? +

Set action: deny in the PolicyLayer policy for stack.dryrun_log. 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 stack.dryrun_log? +

stack.dryrun_log is provided by the Arr Stack MCP server (new-usemame/arr-stack-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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