List all available AI models and their pricing. Optionally filter by provider or tier.
AI agents call list_models to retrieve information from AgentCost MCP Server 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 pricing information about AI models. It performs data lookup and filtering without creating, modifying, deleting, or executing external operations. The operation is purely informational and has no impact on systems, finances, or data state. This is a straightforward Read category tool.
From the tool's definition Tool name is 'list_models' and description states 'List all available AI models and their pricing' with optional filtering. The verb 'list' and the action of retrieving and displaying model data are read-only operations with no side effects.
Attacks that exploit this kind of access
List all available AI models and their pricing. Optionally filter by provider or tier. It is categorised as a Read tool in the AgentCost MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AgentCost MCP Server 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 AgentCost MCP Server. 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 AgentCost MCP Server MCP server (oneagentlabs/agentcost-mcp). 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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