AI agents call get_partners to retrieve information from Odxproxy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns partner records from an Odoo system. It performs a simple read operation without creating, modifying, deleting, or executing any actions. The blast radius is minimal as it only exposes existing data. Confidence is high due to the clear retrieval semantics in both name and description.
From the tool's definition Tool name 'get_partners' and description 'Retrieve partner records from the Odoo' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Retrieve partner records from the Odoo. It is categorised as a Read tool in the Odxproxy MCP Server, which means it retrieves data without modifying state.
Register the Odxproxy MCP server in PolicyLayer and add a rule for get_partners: 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 Odxproxy. Nothing to install.
get_partners 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_partners 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_partners. 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_partners is provided by the Odxproxy MCP server (terrakernel/odxproxy-mcpserver). 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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