Medium Risk

federal_register

Recent US Federal Register documents — rules, proposed rules, notices, executive orders (keyless). doc_type = RULE | PRORULE | NOTICE | PRESDOCU. Answers 'what regulation took effect / what did the President sign' — total post-cutoff blindness for models.

Risk signalsAccepts freeform code/query input (query)

Part of the Dynamic Feed server.

federal_register can modify Dynamic Feed 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 federal_register to create or modify resources in Dynamic Feed. 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 federal_register 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 Dynamic Feed.

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

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

See the full Dynamic Feed policy for all 50 tools.

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

Recent US Federal Register documents — rules, proposed rules, notices, executive orders (keyless). doc_type = RULE | PRORULE | NOTICE | PRESDOCU. Answers 'what regulation took effect / what did the President sign' — total post-cutoff blindness for models.. It is categorised as a Write tool in the Dynamic Feed MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on federal_register? +

Register the Dynamic Feed MCP server in PolicyLayer and add a rule for federal_register: 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 Dynamic Feed. Nothing to install.

What risk level is federal_register? +

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

Can I rate-limit federal_register? +

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

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

federal_register is provided by the Dynamic Feed MCP server (https://dynamicfeed.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dynamic Feed tool call.

Deterministic rules across all 50 Dynamic Feed tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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