Medium Risk

agents_create

Create a Camber agent. Creates a personal agent by default. Pass team_name to create the agent for a team you belong to. Returns the created agent, including its tag.

Part of the Camber - Remote Agentic Data Science server.

agents_create can modify Camber - Remote Agentic Data Science 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 agents_create to create or modify resources in Camber - Remote Agentic Data Science. 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 agents_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 Camber - Remote Agentic Data Science.

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

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

See the full Camber - Remote Agentic Data Science policy for all 5 tools.

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These attack patterns abuse exactly the kind of access agents_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 agents_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 agents_create tool do? +

Create a Camber agent. Creates a personal agent by default. Pass team_name to create the agent for a team you belong to. Returns the created agent, including its tag.. It is categorised as a Write tool in the Camber - Remote Agentic Data Science MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agents_create? +

Register the Camber - Remote Agentic Data Science MCP server in PolicyLayer and add a rule for agents_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 Camber - Remote Agentic Data Science. Nothing to install.

What risk level is agents_create? +

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

Can I rate-limit agents_create? +

Yes. Add a rate_limit block to the agents_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 agents_create completely? +

Set action: deny in the PolicyLayer policy for agents_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 agents_create? +

agents_create is provided by the Camber - Remote Agentic Data Science MCP server (https://camber-mcp.cambercloud.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Camber - Remote Agentic Data Science tool call.

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