Low Risk

patxin_request

Request a qualified human to complete a cognitive micro-task. This tool blocks until the human completes the task (or it expires/is cancelled). Use patxin_estimate first to check pricing. The context field should contain all information the human needs to complete the task.

Part of the Patxin server.

patxin_request 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 patxin_request to retrieve information from Patxin 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 patxin_request 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": {
    "patxin_request": {}
  }
}

See the full Patxin policy for all 6 tools.

Get this rule live on your own Patxin server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Request a qualified human to complete a cognitive micro-task. This tool blocks until the human completes the task (or it expires/is cancelled). Use patxin_estimate first to check pricing. The context field should contain all information the human needs to complete the task.. It is categorised as a Read tool in the Patxin MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on patxin_request? +

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

What risk level is patxin_request? +

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

Can I rate-limit patxin_request? +

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

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

patxin_request is provided by the Patxin MCP server (@patxin/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 Patxin tool call.

Deterministic rules across all 6 Patxin tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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