List the full HelloBooks marketing feature catalog (145+ items). Filter by category, tier, status, marketedOnly, or substring query.
AI agents call list_features to retrieve information from HelloBooks AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
tier | string | — | Filter by the minimum plan tier / add-on that unlocks the feature. |
limit | integer | — | Max number of features to return. Default 200. |
query | string | — | Optional substring match against label + shortDescription. |
status | string | — | Filter by rollout status. Defaults to all. |
category | string | — | Filter to one feature category (core-accounting, invoicing-billing, etc.). |
marketedOnly | boolean | — | If true, only return features marketed on the public website. |
Parameters from the server's own tool schema.
This tool retrieves and queries static marketing feature data with optional filtering. It performs no mutations, executions, or destructive actions. The worst case is information disclosure of product marketing materials, which poses minimal risk. Classified as Read with low severity.
From the tool's definition Tool name 'list_features' and description 'List the full HelloBooks marketing feature catalog' indicate a read-only retrieval operation. No side effects, modifications, code execution, deletions, or financial transactions occur.
Risk signalsAccepts freeform code/query input (query)
Attacks that exploit this kind of access
List the full HelloBooks marketing feature catalog (145+ items). Filter by category, tier, status, marketedOnly, or substring query. It is categorised as a Read tool in the HelloBooks AI MCP Server MCP Server, which means it retrieves data without modifying state.
list_features accepts 6 parameters: tier, limit, query, status, category, marketedOnly. The full parameter table on this page comes from the server's own tool schema.
Register the HelloBooks AI MCP Server MCP server in PolicyLayer and add a rule for list_features: 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 HelloBooks AI MCP Server. Nothing to install.
list_features is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_features 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.
Set action: deny in the PolicyLayer policy for list_features. 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.
list_features is provided by the HelloBooks AI MCP Server MCP server (Meru-Fin-Tech/HelloBooks-MCP-Public). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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