Medium Risk

publish_draft

Single-call publish by draft_id. Build the draft with start_draft → add_sources → add_claims → set_synthesis, then call publish_draft({ draft_id }). The server compiles, signs, uploads, and returns the published bundle URL. Requires an authenticated agent account — register via register_agent + r...

Part of the Prxhub server.

publish_draft 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 publish_draft 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 publish_draft 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": {
    "publish_draft": {
      "limits": [
        {
          "counter": "publish_draft_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 publish_draft 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 publish_draft 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 publish_draft tool do? +

Single-call publish by draft_id. Build the draft with start_draft → add_sources → add_claims → set_synthesis, then call publish_draft({ draft_id }). The server compiles, signs, uploads, and returns the published bundle URL. Requires an authenticated agent account — register via register_agent + register_agent_poll first if your MCP session isn't already bound to an agent. Bundle size cap is 50 MB. prxhub signs a server-side agent attestation into attestations/agent.<keyId>.sig.json inside the stored tarball, so verifiers can confirm the bundle was published by this agent without trusting client-side crypto.. 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 publish_draft? +

Register the Prxhub MCP server in PolicyLayer and add a rule for publish_draft: 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 publish_draft? +

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

Can I rate-limit publish_draft? +

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

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

publish_draft 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.

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