list_models

List available DeepSeek models for model selection and validation. This tool takes no parameters. Use it before passing an explicit model ID to generation tools.

SERVERDeepSeek MCP Server SOURCEdeepseek-mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/deepseek-mcp-server/list-models.md

WHAT IT DOES

What list_models does on DeepSeek MCP Server

AI agents call list_models to retrieve information from DeepSeek MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why list_models is rated Low

This tool retrieves information about available models without modifying, executing code, deleting data, or making financial transactions. It is a straightforward query operation that returns a static list. The severity is low because misuse would only expose model names and metadata, with no blast radius for unintended operations.

From the tool's definition Tool name is 'list_models' and description states it 'List available DeepSeek models' with 'no parameters'. The verb 'List' and the stated purpose of querying available models for selection and validation are read-only operations with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_models safely

PolicyLayer is an MCP gateway: it sits between your AI agents and DeepSeek MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_models, this is the rule to start with:

list_models Allowed

list_models is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_models": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect DeepSeek MCP Server, apply this rule, and every list_models call is checked against it from then on.

FAQ

Questions about list_models

What does the list_models tool do? +

List available DeepSeek models for model selection and validation. This tool takes no parameters. Use it before passing an explicit model ID to generation tools. It is categorised as a Read tool in the DeepSeek MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_models? +

Register the DeepSeek 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 DeepSeek MCP Server. Nothing to install.

What risk level is list_models? +

list_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_models? +

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.

How do I block list_models completely? +

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.

What MCP server provides list_models? +

list_models is provided by the DeepSeek MCP Server MCP server (deepseek-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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