reg_search

Search the Federal Register (the daily journal of the US government) for rules, proposed rules, notices, and presidential documents by keyword, with optional agency, document type, and publication-date filters. Returns each document's number, title, type, publishing agency, abstract, and URL. Use...

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
Low RISK CLASS
Category Read
Parameters 60 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/reg-search.md

What reg_search does on Livedatalink

AI agents call reg_search to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
term string Keyword(s), e.g. 'methane emissions', 'overtime rule'.
type string Optional document type: 'rule', 'proposed-rule', 'notice', or 'presidential-document'.
limit number Max rows (default 20, max 100).
agency string Optional agency slug, e.g. 'environmental-protection-agency', 'securities-and-exchange-commission'.
published_to string Published on/before, ISO date yyyy-mm-dd.
published_from string Published on/after, ISO date yyyy-mm-dd.

Parameters from the server's own tool schema.

Why reg_search is rated Low

This tool retrieves publicly available government documents and metadata from the Federal Register. It has no side effects—it only queries and returns information. The severity is low because the Federal Register is public data with no sensitive access controls, and misuse by an AI agent would result only in information gathering, not data modification, deletion, or any actionable harm.

From the tool's definition Tool description states it 'Search[es] the Federal Register... for rules, proposed rules, notices, and presidential documents by keyword' and 'Returns each document's number, title, type, publishing agency, abstract, and URL.' These are all retrieval…

Questions about reg_search

What does the reg_search tool do? +

Search the Federal Register (the daily journal of the US government) for rules, proposed rules, notices, and presidential documents by keyword, with optional agency, document type, and publication-date filters. Returns each document's number, title, type, publishing agency, abstract, and URL. Use reg_document to get the full text of one document. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.

What parameters does reg_search accept? +

reg_search accepts 6 parameters: term, type, limit, agency, published_to, published_from. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on reg_search? +

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

What risk level is reg_search? +

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

Can I rate-limit reg_search? +

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

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

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

More on Livedatalink, and thousands of servers like it.

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