fedreg-suggested-searches

Fetch Federal Register editor-curated suggested searches by section or term.

SERVERMeta Data Mcp SOURCEpypi:meta-data-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-derekslinz-meta-data-mcp/fedreg-suggested-searches.md

WHAT IT DOES

What fedreg-suggested-searches does on Meta Data Mcp

AI agents call fedreg-suggested-searches to retrieve information from Meta Data Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why fedreg-suggested-searches is rated Low

This tool queries public Federal Register data to retrieve pre-curated search suggestions. It performs a simple lookup/retrieval with no capability to modify data, execute code, delete content, or affect financial systems. The blast radius of misuse is minimal — an agent could only retrieve search suggestions that are already publicly available.

From the tool's definition Tool name contains 'fetch' and description states 'Fetch Federal Register editor-curated suggested searches' — a retrieval operation with no modification or side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs fedreg-suggested-searches safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Data Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fedreg-suggested-searches, this is the rule to start with:

fedreg-suggested-searches Allowed

fedreg-suggested-searches is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "fedreg-suggested-searches": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Meta Data Mcp, apply this rule, and every fedreg-suggested-searches call is checked against it from then on.

FAQ

Questions about fedreg-suggested-searches

What does the fedreg-suggested-searches tool do? +

Fetch Federal Register editor-curated suggested searches by section or term. It is categorised as a Read tool in the Meta Data Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fedreg-suggested-searches? +

Register the Meta Data MCP server in PolicyLayer and add a rule for fedreg-suggested-searches: 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 Meta Data Mcp. Nothing to install.

What risk level is fedreg-suggested-searches? +

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

Can I rate-limit fedreg-suggested-searches? +

Yes. Add a rate_limit block to the fedreg-suggested-searches 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 fedreg-suggested-searches completely? +

Set action: deny in the PolicyLayer policy for fedreg-suggested-searches. 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 fedreg-suggested-searches? +

fedreg-suggested-searches is provided by the Meta Data MCP server (pypi:meta-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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