Low Risk

seedream_list_models

List all available Seedream models with their capabilities and pricing. Use this when: - User asks what models are available - You need to help choose the right model for a task - You want to compare model capabilities Returns: Formatted table of all Seedream models with descriptions.

Part of the Mcp Seedream Pro server.

seedream_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 seedream_list_models to retrieve information from Mcp Seedream 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 seedream_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": {
    "seedream_list_models": {}
  }
}

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

Get this rule live on your own Mcp Seedream 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 seedream_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 seedream_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 seedream_list_models tool do? +

List all available Seedream models with their capabilities and pricing. Use this when: - User asks what models are available - You need to help choose the right model for a task - You want to compare model capabilities Returns: Formatted table of all Seedream models with descriptions.. It is categorised as a Read tool in the Mcp Seedream Pro MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on seedream_list_models? +

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

What risk level is seedream_list_models? +

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

Can I rate-limit seedream_list_models? +

Yes. Add a rate_limit block to the seedream_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 seedream_list_models completely? +

Set action: deny in the PolicyLayer policy for seedream_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 seedream_list_models? +

seedream_list_models is provided by the Mcp Seedream Pro MCP server (acedatacloud-mcp/mcp-seedream-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 Seedream Pro tool call.

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

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