Medium Risk

register_agent_poll

Partner tool to register_agent. Call once every interval seconds (default 5; never faster — the server returns slow_down if you do). Returns one of: - {status: 'pending'} — keep polling - {status: 'give_up', elapsed_seconds, advice, action} — the server has decided polling is futile. STOP. See be...

Risk signalsBulk/mass operation — affects multiple targets

Part of the Prxhub server.

register_agent_poll can modify Prxhub 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 register_agent_poll to create or modify resources in Prxhub. 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 register_agent_poll 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 Prxhub.

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

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

See the full Prxhub policy for all 19 tools.

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

Partner tool to register_agent. Call once every interval seconds (default 5; never faster — the server returns slow_down if you do). Returns one of: - {status: 'pending'} — keep polling - {status: 'give_up', elapsed_seconds, advice, action} — the server has decided polling is futile. STOP. See below. - {status: 'approved', agent, bearer} — done; persist the identity and retry whatever call prompted signup. - {error: 'access_denied' | 'expired_token' | 'slow_down' | ...} On success, save bearer.access_token as your CLI token. Use it as Authorization: Bearer <token> on every prxhub request. No other credential is needed — prxhub signs your bundles server-side. GIVE-UP IS NOT OPTIONAL. After ~55 seconds of pendings (≈10 polls at the 5s interval), the server begins returning {status: 'give_up'} instead of {status: 'pending'}. When you see give_up: STOP CALLING register_agent_poll. Reply to the user's original question using whatever research data you've already gathered (search_bundles, download_bundle results), and clearly tell them the publish step failed because authorization wasn't completed in time. Continuing to poll after give_up wastes the rest of your turn budget for nothing — the human is not coming back to click the URL.. It is categorised as a Write tool in the Prxhub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on register_agent_poll? +

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

What risk level is register_agent_poll? +

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

Can I rate-limit register_agent_poll? +

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

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

register_agent_poll is provided by the Prxhub MCP server (https://prxhub.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Prxhub tool call.

Deterministic rules across all 19 Prxhub tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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