model_info

Get comprehensive metadata for an Odoo model

Server Odoo MCP Server mah007/odoomcp
Category Read
Risk class Low
Parameters 00 required

What model_info does on Odoo MCP Server

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.

Why model_info needs a policy

This tool retrieves metadata about Odoo models (fields, types, constraints, etc.) without modifying data, executing code, or triggering side effects. It is informational only, analogous to schema introspection queries. Confidence is high given the clear read-only semantics; severity is low because metadata exposure alone presents minimal risk even in adversarial scenarios.

From the tool's definition Tool name 'model_info' and description 'Get comprehensive metadata for an Odoo model' indicate retrieval of model schema/structure information with no data modification or execution.

Questions about model_info

What does the model_info tool do? +

Get comprehensive metadata for an Odoo model. It is categorised as a Read tool in the Odoo MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on model_info? +

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.

What risk level is model_info? +

model_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit model_info? +

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.

How do I block model_info completely? +

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.

What MCP server provides model_info? +

model_info is provided by the Odoo MCP Server MCP server (mah007/odoomcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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