New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

list_sections

Enumerate ALL 271 pricing themes this index covers: the deep hub sections (e.g. ai-receptionists, call-tracking) plus dozens of catalog topics (e.g. vpn-services, web-hosting, password-managers, crm-software). Each entry carries its slug, display label, vertical, tagline, vendor count and kind ('...

SERVERThe Front Desk Review SOURCEhttps://mcp.frontdeskreview.com/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/com-frontdeskreview-front-desk-review-data/list-sections.md

What list_sections does on The Front Desk Review

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

Why list_sections is rated Low

This is a straightforward data retrieval tool that enumerates catalog metadata. It returns informational index data (slugs, labels, vendor counts) that other tools use for queries. There are no side effects, state changes, or irreversible actions. The tool serves as a read-only lookup for available sections in the product database.

From the tool's definition "Enumerate ALL 271 pricing themes this index covers" and "Each entry carries its slug, display label, vertical, tagline, vendor count and kind" indicates the tool retrieves and lists structured data about available product categories without modifying,…

Questions about list_sections

What does the list_sections tool do? +

Enumerate ALL 271 pricing themes this index covers: the deep hub sections (e.g. ai-receptionists, call-tracking) plus dozens of catalog topics (e.g. vpn-services, web-hosting, password-managers, crm-software). Each entry carries its slug, display label, vertical, tagline, vendor count and kind ('section' or 'catalog'). Pass any of these slugs as the section arg to the other tools to query that theme. It is categorised as a Read tool in the The Front Desk Review MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_sections? +

Register the The Front Desk Review MCP server in PolicyLayer and add a rule for list_sections: 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 The Front Desk Review. Nothing to install.

What risk level is list_sections? +

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

Can I rate-limit list_sections? +

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

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

list_sections is provided by the The Front Desk Review MCP server (https://mcp.frontdeskreview.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on The Front Desk Review, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of The Front Desk Review's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.