agentbrush_list_presets
List all available AgentBrush image generation presets. Returns preset IDs, display names, pipeline types, word budgets, and features. No authentication required. Call this before agentbrush_generate if unsure which preset to use. Each preset has a unique visual style. The "realistic" preset uses...
This record as markdown: /tools/dev-agentbrush-mcp-server/agentbrush-list-presets.md
What agentbrush_list_presets does on Mcp Server
AI agents call agentbrush_list_presets to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why agentbrush_list_presets is rated Low
This tool retrieves and queries metadata about available presets to inform downstream decisions. It performs no modifications, deletions, code execution, or financial operations. The purpose is informational only, helping users select appropriate presets before actually generating images. It is a straightforward Read operation with minimal risk.
From the tool's definition Tool name includes 'list' and description states 'List all available AgentBrush image generation presets. Returns preset IDs, display names, pipeline types, word budgets, and features.' This is a pure data retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs agentbrush_list_presets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agentbrush_list_presets, this is the rule to start with:
agentbrush_list_presets 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 Mcp Server, apply this rule, and every agentbrush_list_presets call is checked against it from then on.
Questions about agentbrush_list_presets
List all available AgentBrush image generation presets. Returns preset IDs, display names, pipeline types, word budgets, and features. No authentication required. Call this before agentbrush_generate if unsure which preset to use. Each preset has a unique visual style. The "realistic" preset uses the gpt-image-2 single-shot path (formerly a two-model pipeline). All other presets are single-model. Token cost is determined by quality_hint (low=1 / medium=5 / high=20 tokens at 1024×1024, multiplied by a resolution factor), not by preset. The response includes enough detail for you to recommend a preset to the user without further prompting. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
Register the Mcp Server MCP server in PolicyLayer and add a rule for agentbrush_list_presets: 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 Server. Nothing to install.
agentbrush_list_presets 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 agentbrush_list_presets 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 agentbrush_list_presets. 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.
agentbrush_list_presets is provided by the Mcp Server MCP server (@agentbrush/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Server, and thousands of servers like it.
This server
Across the catalogue