AI agents use odoo_update_task_status to create or update resources in Odooclaw — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Odooclaw environment.
The tool updates task status in an Odoo ERP system, which is a reversible data modification (Write category). Severity is medium because incorrect status updates could disrupt workflows and project management, but changes are typically reversible through subsequent corrections. Confidence is lowered to 0.75 due to empty description; if it had detailed documentation the classification confidence would be higher.
From the tool's definition Tool name 'odoo_update_task_status' indicates modification of task status data. The server description mentions 'CRUD operations' and the tool naming pattern shows write operations like 'odoo_approve_expense', 'odoo_check_in', 'odoo_check_out' which are…
Attacks that exploit this kind of access
odoo_update_task_status. It is categorised as a Write tool in the Odooclaw MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Odooclaw MCP server in PolicyLayer and add a rule for odoo_update_task_status: 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 Odooclaw. Nothing to install.
odoo_update_task_status is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the odoo_update_task_status 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_update_task_status. 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_update_task_status is provided by the Odooclaw MCP server (nicolasramos/odooclaw-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.
Teams ship this data inside their own products. See what a licence covers →