AI agents call model_info to retrieve information from Odoo 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 metadata about Odoo models without modifying, executing operations, or causing destructive changes. It serves an informational purpose similar to schema inspection. The blast radius of misuse is minimal—an agent retrieving model information cannot alter data or trigger external effects.
From the tool's definition Tool name 'model_info' and description 'Get comprehensive information about a model' indicate a retrieval operation. The verb 'Get' and absence of modification language ('create', 'update', 'delete') confirm this is a read-only query.
Documented attack patterns abuse exactly the kind of access model_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Odoo MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for model_info:
{
"version": "1",
"default": "deny",
"tools": {
"model_info": {}
}
}model_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get comprehensive information about a model. It is categorised as a Read tool in the Odoo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Odoo MCP Server MCP server in PolicyLayer and add a rule for model_info: 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 MCP Server. Nothing to install.
model_info 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 model_info 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 model_info. 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.
model_info is provided by the Odoo MCP Server MCP server (vzeman/odoo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Odoo MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Odoo MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.