Medium Risk

subscribe_changes

Create a webhook subscription that pushes grant-change events matching a filter. Cost: $0.20 USDC via x402 (paid by the agent runtime). On 402 response, agent must satisfy payment and retry.

Risk signalsAccepts URL/endpoint input (callback_url)

Part of the Mcp Server server.

subscribe_changes can modify Mcp Server 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 subscribe_changes to create or modify resources in Mcp Server. 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 subscribe_changes 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 Mcp Server.

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

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

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

Create a webhook subscription that pushes grant-change events matching a filter. Cost: $0.20 USDC via x402 (paid by the agent runtime). On 402 response, agent must satisfy payment and retry.. It is categorised as a Write tool in the 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 subscribe_changes? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for subscribe_changes: 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 Mcp Server. Nothing to install.

What risk level is subscribe_changes? +

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

Can I rate-limit subscribe_changes? +

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

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

subscribe_changes is provided by the Mcp Server MCP server (@localgov-jp/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 Mcp Server tool call.

Deterministic rules across all 8 Mcp Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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