AI agents use skip_latest_outfit to create or update resources in Wardrowbe — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Wardrowbe environment.
Skipping an outfit suggestion modifies its state (marks it as skipped/dismissed) in a reversible way. It does not delete data permanently, execute code, or involve financial transactions. The blast radius is low as it only affects a single outfit suggestion record.
From the tool's definition Skip the most recent pending/sent outfit suggestion
Attacks that exploit this kind of access
Skip the most recent pending/sent outfit suggestion. It is categorised as a Write tool in the Wardrowbe MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Wardrowbe MCP server in PolicyLayer and add a rule for skip_latest_outfit: 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 Wardrowbe. Nothing to install.
skip_latest_outfit 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 skip_latest_outfit 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 skip_latest_outfit. 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.
skip_latest_outfit is provided by the Wardrowbe MCP server (saya6k/mcp-wardrowbe). 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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