Get user by ID
AI agents call get_user to retrieve information from Code Mode Bridge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a read-only query operation to fetch user data based on an identifier. No data is modified, deleted, or executed. The severity is low because retrieval of user information has limited blast radius unless the data is sensitive, but the operation itself is non-destructive and reversible by nature.
From the tool's definition Tool name is 'get_user' with description 'Get user by ID'. This retrieves user information by ID without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Get user by ID. It is categorised as a Read tool in the Code Mode Bridge MCP Server, which means it retrieves data without modifying state.
Register the Code Mode Bridge MCP server in PolicyLayer and add a rule for get_user: 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 Code Mode Bridge. Nothing to install.
get_user 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_user 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_user. 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_user is provided by the Code Mode Bridge MCP server (ruifung/mcp-cm-bridge). 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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