AI agents call odoo_current_user to retrieve information from Odoo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about the currently authenticated user without modifying, creating, or deleting any data. It is a straightforward read operation that retrieves user identity metadata, posing minimal security risk even if misused by an AI agent.
From the tool's definition Tool name 'odoo_current_user' and description 'Return the current Odoo user' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Return the current Odoo user. It is categorised as a Read tool in the Odoo MCP Server, which means it retrieves data without modifying state.
Register the Odoo MCP server in PolicyLayer and add a rule for odoo_current_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 Odoo. Nothing to install.
odoo_current_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 odoo_current_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 odoo_current_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.
odoo_current_user is provided by the Odoo MCP server (plgonzalezrx8/odoo-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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