HelloBooks AI Agents

list_features

List the full HelloBooks marketing feature catalog (145+ items). Filter by category, tier, status, marketedOnly, or substring query.

Input Schema

TableJSON Schema

Name	Required	Description
`tier`	No	Filter by the minimum plan tier / add-on that unlocks the feature.
`limit`	No	Max number of features to return. Default 200.
`query`	No	Optional substring match against label + shortDescription.
`status`	No	Filter by rollout status. Defaults to all.
`category`	No	Filter to one feature category (core-accounting, invoicing-billing, etc.).
`marketedOnly`	No	If true, only return features marketed on the public website.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedJun 12, 2026

changedInput schema / properties / tier / enum

Previous value: -[
-  "free",
-  "pro",
-  "cpa",
-  "warehouse-addon",
-  "manufacturing-addon"
-]New value: +[
+  "free",
+  "pro",
+  "business",
+  "cpa",
+  "warehouse-addon",
+  "manufacturing-addon"
+]

First observedJun 9, 2026

TDQS

A3.6/5.0

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It mentions filters but does not disclose pagination behavior, default limit, ordering, rate limits, or auth requirements. The presence of a 'limit' parameter hints at pagination, but the description does not clarify it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the main purpose and then lists the filter options. Every part is relevant and there is no wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description adequately explains the tool's behavior: it lists a catalog with filters. It includes the catalog size (145+) and all filter options. The omission of return format details is minor for a listing tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description lists filter categories, which adds no additional meaning beyond the schema's detailed parameter descriptions. No new semantics are provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool lists the full HelloBooks marketing feature catalog (145+ items) and provides filter options. This differentiates it from siblings like list_feature_categories (which lists only categories) and feature_search (which searches). The verb 'list' and resource are explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving a filtered list of features but does not explicitly state when to use this tool versus alternatives (e.g., feature_search for specific substring queries). No when-not-to-use guidance or alternative references are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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