Medium Risk

agent__setup

Update profile fields (title, description, model, department, reports_to) for an owned Guard API agent. Call agent__list_departments and agent__list_members first to resolve valid names.

Part of the Clevername server.

agent__setup can modify Clevername 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 agent__setup to create or modify resources in Clevername. 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 agent__setup 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 Clevername.

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

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

See the full Clevername policy for all 67 tools.

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These attack patterns abuse exactly the kind of access agent__setup gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so agent__setup 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 agent__setup tool do? +

Update profile fields (title, description, model, department, reports_to) for an owned Guard API agent. Call agent__list_departments and agent__list_members first to resolve valid names.. It is categorised as a Write tool in the Clevername MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agent__setup? +

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

What risk level is agent__setup? +

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

Can I rate-limit agent__setup? +

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

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

agent__setup is provided by the Clevername MCP server (@clevername/clevername-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Clevername tool call.

Deterministic rules across all 67 Clevername tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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