List all AI models available through LightningProx. Returns model IDs, names, providers, and pricing. 19 models across Anthropic, OpenAI, Together.ai, Mistral, and Google.
AI agents call list_models to retrieve information from Lightningprox 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 available models and their metadata. It performs no writes, deletions, code execution, or financial transactions. The only potential concern is information disclosure about supported models and pricing, but this is minimal risk and typical for service discovery endpoints.
From the tool's definition Tool description states it 'List all AI models available' and 'Returns model IDs, names, providers, and pricing' — purely informational retrieval with no side effects.
Attacks that exploit this kind of access
List all AI models available through LightningProx. Returns model IDs, names, providers, and pricing. 19 models across Anthropic, OpenAI, Together.ai, Mistral, and Google. It is categorised as a Read tool in the Lightningprox MCP Server, which means it retrieves data without modifying state.
Register the Lightningprox 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 Lightningprox. 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 Lightningprox MCP server (unixlamadev-spec/lightningprox-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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