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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, covering the safety profile. The description adds behavioral context beyond this: it returns category-bucketed example questions with tool+argument shapes, and that calling with no arguments yields the full spread. This enriches the agent's understanding of what to expect without contradicting annotations.

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 longer than average but every sentence contributes value: it opens with natural-language examples, explains the output, provides usage scenarios, and conveys the exact tools. The structure is front-loaded with the core concept and flows logically, though it could be slightly tightened without losing information.

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?

Given the absence of an output schema, the description compensates by explaining the return format (category-bucketed questions with tool+argument shape). It also covers the optional parameter, the no-argument behavior, and the tool's role as an onboarding entry point. This is a complete picture for an agent to decide when and how to invoke it.

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% with the topic parameter already described. The description adds meaningful examples ('finance', 'pharma', 'betting') and clarifies that omitting it gives a cross-category spread, which goes beyond the schema's enumeration and helps the agent decide how to use the parameter.

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 returns category-bucketed example questions with the exact tool and argument shape that answers each. It distinguishes itself from siblings by positioning as 'the onboarding entry point' for an agent that just connected, making it distinct from discover_tools or ask_pipeworx.

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?

The description gives explicit guidance on 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 explains the optional topic parameter and how to get the full spread. While it doesn't name specific alternatives or state when not to use it, the context is clear and actionable.

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