Medium Risk

bulk_create

Create multiple nodes, relations, and mixin values in one atomic operation. When to use: - Creating more than one node. - Any creation that includes relations and/or mixins. - For a single node with no relations/mixins, prefer create_node. Required ids come from: - get_mixins_and_relation_groups:...

Risk signalsHigh parameter count (17 properties)

Part of the CoreModels server.

bulk_create can modify CoreModels data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use bulk_create to create or modify resources in CoreModels. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call bulk_create repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach CoreModels.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "bulk_create": {
      "limits": [
        {
          "counter": "bulk_create_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full CoreModels policy for all 19 tools.

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These attack patterns abuse exactly the kind of access bulk_create 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 bulk_create only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the bulk_create tool do? +

Create multiple nodes, relations, and mixin values in one atomic operation. When to use: - Creating more than one node. - Any creation that includes relations and/or mixins. - For a single node with no relations/mixins, prefer create_node. Required ids come from: - get_mixins_and_relation_groups: relationGroupId, mixinId, and each mixin column id. - get_project_summary or search_nodes (nodeType=Space): spaceIds, plus any existing nodeIds you want to reference. Relation endpoints (fromNodeId / toNodeId) may be either: - ids of nodes created elsewhere in this same payload, or - ids of nodes already in the project. Limitations: - Cannot create AttributeMixin. Use create_mixin_value for those.. It is categorised as a Write tool in the CoreModels MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on bulk_create? +

Register the CoreModels MCP server in PolicyLayer and add a rule for bulk_create: 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 CoreModels. Nothing to install.

What risk level is bulk_create? +

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

Can I rate-limit bulk_create? +

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

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

bulk_create is provided by the CoreModels MCP server (https://go.coremodels.io/mcp-admin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CoreModels tool call.

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