Medium Risk

about

Server metadata, dataset statistics, data freshness, and provenance information. Call this first in any session to verify data coverage, currency (last update check date), and content basis before relying on results for compliance decisions. Output: { server, version, dataset: { regulations, sect...

Part of the Us Regulations server.

about can modify Us Regulations 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 about to create or modify resources in Us Regulations. 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 about 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 Us Regulations.

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

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

See the full Us Regulations policy for all 10 tools.

Get this rule live on your own Us Regulations 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 about 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 about 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 about tool do? +

Server metadata, dataset statistics, data freshness, and provenance information. Call this first in any session to verify data coverage, currency (last update check date), and content basis before relying on results for compliance decisions. Output: { server, version, dataset: { regulations, sections, built, freshness }, provenance }.. It is categorised as a Write tool in the Us Regulations MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on about? +

Register the Us Regulations MCP server in PolicyLayer and add a rule for about: 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 Us Regulations. Nothing to install.

What risk level is about? +

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

Can I rate-limit about? +

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

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

about is provided by the Us Regulations MCP server (Ansvar-Systems/US_compliance_MCP). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Us Regulations tool call.

Deterministic rules across all 10 Us Regulations tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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