AI agents call layout_module_dependencies to retrieve information from Odoo Dev MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The name suggests this tool reads and presents module dependency information. No description is available to confirm, but 'layout' typically implies a read/display operation rather than modification. Given the server context of Odoo module development, this likely retrieves or visualizes dependency graphs. Confidence is low due to empty description.
From the tool's definition Tool name 'layout_module_dependencies' and empty description; 'layout' suggests rendering/displaying dependency information
Documented attack patterns abuse exactly the kind of access layout_module_dependencies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Odoo Dev MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for layout_module_dependencies:
{
"version": "1",
"default": "deny",
"tools": {
"layout_module_dependencies": {}
}
}layout_module_dependencies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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layout_module_dependencies. It is categorised as a Read tool in the Odoo Dev MCP MCP Server, which means it retrieves data without modifying state.
Register the Odoo Dev MCP server in PolicyLayer and add a rule for layout_module_dependencies: 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 Dev MCP. Nothing to install.
layout_module_dependencies 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 layout_module_dependencies 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 layout_module_dependencies. 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.
layout_module_dependencies is provided by the Odoo Dev MCP server (mart337i/odoo-dev-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Odoo Dev MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 Odoo Dev MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.