create_seed_component · AI-Canvas MCP Server MCP

WHAT IT DOES

What create_seed_component does on AI-Canvas MCP Server

AI agents use create_seed_component to create or update resources in AI-Canvas MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI-Canvas MCP Server environment.

WHY IT NEEDS A POLICY

Why create_seed_component needs a policy

The tool creates (writes) a new component definition, which modifies the design document by adding a reversible artifact. This is a Write operation—it generates new design data that can be edited or removed. Severity is medium because creating components could introduce design inconsistencies or clutter, but the action is reversible and confined to design assets rather than production systems or financial impact.

From the tool's definition Tool name and description: 'Create a new component definition from a seed' indicates creation of new design artifact.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_seed_component Rate-limited

create_seed_component stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_seed_component": {
      "limits": [
        {
          "counter": "create_seed_component_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AI-Canvas MCP Server, so you can run agents against it safely.

FAQ

Questions about create_seed_component

What does the create_seed_component tool do? +

Create a new component definition from a seed. It is categorised as a Write tool in the AI-Canvas MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_seed_component? +

Register the AI-Canvas MCP Server MCP server in PolicyLayer and add a rule for create_seed_component: 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 AI-Canvas MCP Server. Nothing to install.

What risk level is create_seed_component? +

create_seed_component is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_seed_component? +

Yes. Add a rate_limit block to the create_seed_component 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 create_seed_component completely? +

Set action: deny in the PolicyLayer policy for create_seed_component. 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 create_seed_component? +

create_seed_component is provided by the AI-Canvas MCP Server MCP server (laoluojuhai/ai-canvas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.