List users (paginated)
AI agents call get_users to retrieve information from Dolibarr MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user information in a paginated format. It performs a query operation that does not create, modify, delete, or execute any actions. The paginated listing of users is a standard read operation with minimal blast radius if misused by an AI agent. There is no risk of data corruption, financial impact, or irreversible changes.
From the tool's definition Tool name is 'get_users' and description states 'List users (paginated)' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List users (paginated). It is categorised as a Read tool in the Dolibarr MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dolibarr MCP Server MCP server in PolicyLayer and add a rule for get_users: 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 Dolibarr MCP Server. Nothing to install.
get_users 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_users 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_users. 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_users is provided by the Dolibarr MCP Server MCP server (marioser/dolibarr-mcp). 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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