AI agents call get_alerts 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 'get' prefix indicates a retrieval operation with no side effects. While the empty description reduces confidence somewhat, the naming pattern is consistent with Read operations that query existing data. No evidence suggests data creation, modification, deletion, code execution, or financial impact.
From the tool's definition Tool name is 'get_alerts' which follows read-operation naming conventions (get prefix). The description is empty, limiting definitive assessment, but 'get_alerts' strongly suggests querying or retrieving alert data without modification.
Documented attack patterns abuse exactly the kind of access get_alerts 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 get_alerts:
{
"version": "1",
"default": "deny",
"tools": {
"get_alerts": {}
}
} get_alerts is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_alerts. 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 get_alerts: 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.
get_alerts 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 get_alerts 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 get_alerts. 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.
get_alerts 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.