AI agents call models.get to retrieve information from Or Info without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries static model metadata from OpenRouter. It has no side effects, creates no resources, executes no code, and poses minimal risk even if misused by an AI agent, as it only returns informational data about available models.
From the tool's definition Tool description states it 'Get[s] pricing, context length, architecture and features for a specific OpenRouter model' — purely retrieval operations with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
Get pricing, context length, architecture and features for a specific OpenRouter model. It is categorised as a Read tool in the Or Info MCP Server, which means it retrieves data without modifying state.
Register the Or Info MCP server in PolicyLayer and add a rule for models.get: 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 Or Info. Nothing to install.
models.get 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 models.get 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 models.get. 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.
models.get is provided by the Or Info MCP server (jmtrs/or-info). 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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