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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description goes beyond annotations by explaining the exact return format (category-bucketed example questions with tool+argument shapes), the live catalog source, and the behavior with and without the topic parameter. No contradiction.

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

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

The description is dense but well-structured: it opens with example phrasings, states the tool's purpose, lists return categories, explains usage variants, and closes with explicit when-to-use guidance. Every sentence contributes meaningful information without redundancy.

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

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

With no output schema, the description sufficiently explains the return value (category-bucketed example questions with tool+argument shapes). It also places the tool in context relative to meta-tools and sibling tools, covering prerequisites, usage, and expected content. The description is complete for an onboarding tool of this complexity.

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

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

Schema coverage is 100% for the single optional parameter. The description adds extra value by providing concrete examples ('finance', 'pharma', 'betting') and clarifying that omitting the parameter returns the full spread, which goes beyond the schema description.

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

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

The description clearly states the tool's purpose: it is an onboarding entry point that returns category-bucketed example questions with exact tool and argument shapes. It distinguishes itself from siblings like discover_tools by specifying the unique output (example questions with tool+argument) and its use as a first step for learning meta-tools.

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

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

Explicitly tells the agent when to use it: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' It also provides guidance on the optional topic parameter and the no-argument default behavior, covering alternatives without ambiguity.

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