AI agents call togetherai_list_models to retrieve information from UnClick without modifying anything — 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 | Together AI API key |
Parameters from the server's own tool schema.
This tool performs a read-only query operation that returns metadata about available models. There are no side effects, no data modification, no code execution, and no destructive operations. The blast radius of misuse is minimal—an agent can only retrieve public model information. This is a straightforward informational lookup, fitting the 'Read' category.
From the tool's definition Tool name and description indicate a 'list' operation: 'List all available models on Together AI'. This retrieves information about available models with no modification, creation, deletion, or execution of operations.
Risk signalsHandles credentials or secrets (api_key)
Attacks that exploit this kind of access
List all available models on Together AI including chat, completion, embedding, and image models. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
togetherai_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 togetherai_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.
togetherai_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 togetherai_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 togetherai_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.
togetherai_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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →