AI agents use odoo_propose_report_patch 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 name 'propose_report_patch' indicates it creates or suggests modifications to Odoo reports, which would be a reversible Write operation. The 'propose' action suggests it does not directly apply changes but prepares them for review, consistent with Write rather than Execute. Given the absence of a description and uncertainty about exact scope, confidence is moderate.
From the tool's definition Tool name contains 'patch' which typically involves modifying configurations or templates. Sibling tools include 'odoo_apply_report_patch_safe' suggesting this proposes changes to reports. No description provided, limiting specificity.
Attacks that exploit this kind of access
odoo_propose_report_patch. 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_propose_report_patch: 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_propose_report_patch 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_propose_report_patch 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_propose_report_patch. 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_propose_report_patch 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.
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