Low Risk

regulatory_fetch_docket_details

Fetch full details for a specific regulatory docket by ID. Read-only. No side effects. Idempotent. US federal only. docket_id: Docket identifier in agency format e.g. EPA-HQ-OAR-2021-0317 or FTC-2024-0041. Required. Timeout is 30 seconds — large dockets may be slow. Returns docket title, agency, ...

Part of the DataNexus MCP server.

regulatory_fetch_docket_details 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 regulatory_fetch_docket_details to retrieve information from DataNexus MCP 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 regulatory_fetch_docket_details 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": {
    "regulatory_fetch_docket_details": {}
  }
}

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

Fetch full details for a specific regulatory docket by ID. Read-only. No side effects. Idempotent. US federal only. docket_id: Docket identifier in agency format e.g. EPA-HQ-OAR-2021-0317 or FTC-2024-0041. Required. Timeout is 30 seconds — large dockets may be slow. Returns docket title, agency, status, comment period dates, total comment count, and list of related documents. Use this when you have a docket ID from a search. Use regulatory_search_open_rulemakings instead when you need to find dockets by topic first. Verified source: Regulations.gov + Federal Register fallback. 4-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="regulatory_fetch_docket_details", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".. It is categorised as a Read tool in the DataNexus MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on regulatory_fetch_docket_details? +

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

What risk level is regulatory_fetch_docket_details? +

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

Can I rate-limit regulatory_fetch_docket_details? +

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

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

regulatory_fetch_docket_details is provided by the DataNexus MCP server (dev-7bd0/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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