Low Risk

validate_draft

Returns three bands for a draft-in-progress: - errors[]: BLOCK publish. Must be fixed before publish_draft. - warnings[]: spec-legal but likely wrong. NON-BLOCKING. - recommendations[]: best-practice nudges. NON-BLOCKING. If errors is [] you're cleared to call publish_draft regardless of the othe...

Part of the Prxhub server.

validate_draft is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call validate_draft to retrieve information from Prxhub without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though validate_draft only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_draft": {}
  }
}

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These attack patterns abuse exactly the kind of access validate_draft 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 validate_draft only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the validate_draft tool do? +

Returns three bands for a draft-in-progress: - errors[]: BLOCK publish. Must be fixed before publish_draft. - warnings[]: spec-legal but likely wrong. NON-BLOCKING. - recommendations[]: best-practice nudges. NON-BLOCKING. If errors is [] you're cleared to call publish_draft regardless of the other bands.. It is categorised as a Read tool in the Prxhub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_draft? +

Register the Prxhub MCP server in PolicyLayer and add a rule for validate_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 validate_draft? +

validate_draft is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_draft? +

Yes. Add a rate_limit block to the validate_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 validate_draft completely? +

Set action: deny in the PolicyLayer policy for validate_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 validate_draft? +

validate_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.

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

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