Medium Risk

garl_register_agent

Register a new AI agent on GARL Protocol. Returns a DID identity, API key, and initial trust score. Use this when an agent wants to join the trust network.

Part of the Garl Protocol server.

garl_register_agent can modify Garl Protocol 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 garl_register_agent to create or modify resources in Garl Protocol. 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 garl_register_agent 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 Garl Protocol.

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

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

See the full Garl Protocol policy for all 28 tools.

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

Register a new AI agent on GARL Protocol. Returns a DID identity, API key, and initial trust score. Use this when an agent wants to join the trust network.. It is categorised as a Write tool in the Garl Protocol MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on garl_register_agent? +

Register the Garl Protocol MCP server in PolicyLayer and add a rule for garl_register_agent: 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 Garl Protocol. Nothing to install.

What risk level is garl_register_agent? +

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

Can I rate-limit garl_register_agent? +

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

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

garl_register_agent is provided by the Garl Protocol MCP server (@garl-protocol/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Garl Protocol tool call.

Deterministic rules across all 28 Garl Protocol tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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