Unified card for one model in a single call: normalized pricing, capabilities (context window, vision, reasoning, tags), availability, reseller markup vs. upstream, and a price-history summary (launch vs. current price, percent change, last change date, all-time low/high).
AI agents call get_model to retrieve information from Modelmeter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Model id in provider/model form, e.g. openai/gpt-5-5. |
Parameters from the server's own tool schema.
This is a read-only lookup/fetch operation that returns informational data about model specifications and pricing history. It has no ability to modify, delete, or execute operations. The blast radius of misuse is minimal — an agent could only retrieve potentially sensitive pricing data, which is a low-severity information disclosure risk at worst.
From the tool's definition Tool retrieves and queries data about a single model: 'normalized pricing, capabilities (context window, vision, reasoning, tags), availability, reseller markup vs. upstream, and a price-history summary'.
Attacks that exploit this kind of access
Unified card for one model in a single call: normalized pricing, capabilities (context window, vision, reasoning, tags), availability, reseller markup vs. upstream, and a price-history summary (launch vs. current price, percent change, last change date, all-time low/high). It is categorised as a Read tool in the Modelmeter MCP Server, which means it retrieves data without modifying state.
get_model accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Modelmeter MCP server in PolicyLayer and add a rule for get_model: 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 Modelmeter. Nothing to install.
get_model 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_model 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_model. 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_model is provided by the Modelmeter MCP server (https://modelmeter.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get_model is one line of Modelmeter's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →