List the 13 feature categories on the marketing site (Core Accounting, Invoicing, Banking, Reports, Tax & Compliance, Inventory, Warehouse, Manufacturing, AI, Integrations, Mobile, Operations, Industry Modules) with per-category counts by status.
AI agents call list_feature_categories 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.
This tool retrieves and queries static product categorization data from a marketing website. It has no side effects, does not modify data, execute code, delete anything, or move money. The 'list' verb and 'counts by status' phrasing confirm simple enumeration of pre-existing categories. Blast radius is minimal—even if misused by an agent, it only exposes non-sensitive product feature metadata.
From the tool's definition Tool name 'list_feature_categories' and description 'List the 13 feature categories on the marketing site... with per-category counts by status' indicate a read-only retrieval of marketing/product information with no data modification or execution.
Attacks that exploit this kind of access
List the 13 feature categories on the marketing site (Core Accounting, Invoicing, Banking, Reports, Tax & Compliance, Inventory, Warehouse, Manufacturing, AI, Integrations, Mobile, Operations, Industry Modules) with per-category counts by status. It is categorised as a Read tool in the HelloBooks AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the HelloBooks AI MCP Server MCP server in PolicyLayer and add a rule for list_feature_categories: 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_feature_categories 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_feature_categories 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_feature_categories. 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_feature_categories 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.
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