openai_list_models
List all OpenAI models available to the account.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/openai-list-models.md
What openai_list_models does on UnClick
AI agents call openai_list_models to retrieve information from UnClick without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
api_key | string | Yes |
Parameters from the server's own tool schema.
Why openai_list_models is rated Low
This tool only lists or retrieves data about available OpenAI models. It has no side effects, does not execute code, does not modify data, and does not delete or move money. The blast radius of misuse is minimal—an agent could only learn which models are available, which is informational. Therefore, it is classified as Read with low severity.
From the tool's definition Tool name 'openai_list_models' and description 'List all OpenAI models available to the account' indicate a query operation that retrieves information without modification or execution.
Risk signalsHandles credentials or secrets (api_key)
Attacks that exploit this kind of access
The rule that runs openai_list_models safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For openai_list_models, this is the rule to start with:
openai_list_models is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect UnClick, apply this rule, and every openai_list_models call is checked against it from then on.
Questions about openai_list_models
List all OpenAI models available to the account. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
openai_list_models accepts 1 parameter: api_key. Required: api_key. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for openai_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 UnClick. Nothing to install.
openai_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 openai_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 openai_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.
openai_list_models is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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