Low Risk

flux_list_models

List all available Flux models and their capabilities. Reference guide for choosing the right Flux model for your use case. Returns: Detailed list of all Flux models with descriptions and recommendations.

Part of the Mcp Flux Pro server.

flux_list_models is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call flux_list_models to retrieve information from Mcp Flux Pro without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though flux_list_models only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "flux_list_models": {}
  }
}

See the full Mcp Flux Pro policy for all 6 tools.

Get this rule live on your own Mcp Flux Pro server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access flux_list_models gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so flux_list_models only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the flux_list_models tool do? +

List all available Flux models and their capabilities. Reference guide for choosing the right Flux model for your use case. Returns: Detailed list of all Flux models with descriptions and recommendations.. It is categorised as a Read tool in the Mcp Flux Pro MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on flux_list_models? +

Register the Mcp Flux Pro MCP server in PolicyLayer and add a rule for flux_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 Mcp Flux Pro. Nothing to install.

What risk level is flux_list_models? +

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

Can I rate-limit flux_list_models? +

Yes. Add a rate_limit block to the flux_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 flux_list_models completely? +

Set action: deny in the PolicyLayer policy for flux_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 flux_list_models? +

flux_list_models is provided by the Mcp Flux Pro MCP server (acedatacloud-mcp/mcp-flux-pro). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Flux Pro tool call.

Deterministic rules across all 6 Mcp Flux Pro tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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