AI agents call get_me to retrieve information from Repsona without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about the authenticated user. It performs no side effects, creates no data, executes no operations, and modifies nothing. It is a straightforward read operation. Severity is low because the information accessed is limited to the user's own metadata, with no blast radius for misuse by an AI agent.
From the tool's definition Tool name is 'get_me' and description translates to 'retrieve/fetch my information' (自分の情報を取得します). Uses the retrieval verb 取得 (acquire/fetch) which indicates a read operation that queries user profile or account data without modification.
Attacks that exploit this kind of access
自分の情報を取得します. It is categorised as a Read tool in the Repsona MCP Server, which means it retrieves data without modifying state.
Register the Repsona MCP server in PolicyLayer and add a rule for get_me: 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 Repsona. Nothing to install.
get_me 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_me 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_me. 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_me is provided by the Repsona MCP server (@bellx2/repsona-mcp-server). 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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