search_user
AI agents call search_user to retrieve information from MCP Atlassian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
User search is a read-only query operation with no mutation capability. Although the description is empty (lowering confidence slightly), the tool name and context (Atlassian product user management) strongly suggest this retrieves user information without modification.
From the tool's definition Tool name 'search_user' indicates a user directory lookup or query function. The empty description provides no contradictory evidence of side effects or data modification.
Attacks that exploit this kind of access
search_user. It is categorised as a Read tool in the MCP Atlassian MCP Server, which means it retrieves data without modifying state.
Register the MCP Atlassian MCP server in PolicyLayer and add a rule for search_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 MCP Atlassian. Nothing to install.
search_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 search_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 search_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.
search_user is provided by the MCP Atlassian MCP server (lklkxcxc/mcp-atlassian). 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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