List available models with their current pricing. Optionally filter by provider.
AI agents call list_models 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 |
|---|---|---|---|
limit | integer | — | Max rows to return. Default 200. |
provider | string | — | Provider id, e.g. anthropic, openai, google, venice, openrouter. |
include_unavailable | boolean | — | Include deprecated/restricted/unavailable models. Default false. |
Parameters from the server's own tool schema.
The tool queries and retrieves a list of models and pricing information. It is a read-only operation with no side effects, making it a Read category tool. Severity is low because exposure of publicly available model pricing information poses minimal risk to the system or organization.
From the tool's definition Tool name is 'list_models' and description states 'List available models with their current pricing. Optionally filter by provider.' This retrieves data without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
List available models with their current pricing. Optionally filter by provider. It is categorised as a Read tool in the Modelmeter MCP Server, which means it retrieves data without modifying state.
list_models accepts 3 parameters: limit, provider, include_unavailable. 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 list_models: 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.
list_models 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 list_models 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 list_models. 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.
list_models 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.
list_models 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 →