AI agents call get_outfit to retrieve information from Wardrowbe without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves/queries outfit data by identifier and returns the associated item list. It performs no creation, modification, deletion, or execution of external operations. The action is purely informational and read-only, consistent with the Read category. Low severity reflects minimal blast radius—an agent could only retrieve outfit information that likely belongs to the user.
From the tool's definition Tool name 'get_outfit' and description 'Fetch a single outfit by id (full item list)' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Fetch a single outfit by id (full item list). It is categorised as a Read tool in the Wardrowbe MCP Server, which means it retrieves data without modifying state.
Register the Wardrowbe MCP server in PolicyLayer and add a rule for get_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.
get_outfit 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 get_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 get_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.
get_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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