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

Annotations already declare readOnlyHint and idempotentHint, so the tool is safe. The description adds behavioral context: returns category-bucketed examples with exact tool+argument shapes, drawn from a live catalog. It does not contradict 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 three sentences long, front-loaded with purpose and usage. It is efficient, but could be slightly more concise. However, every sentence adds value, listing categories and usage hints.

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 simple nature of the tool (no required params, no output schema), the description adequately explains what is returned: category-bucketed example questions with tool+argument shapes. It covers the main use cases and the optional topic filter.

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?

The single parameter 'topic' is fully described in both schema (100% coverage) and description. The description adds meaning by listing possible values ('finance', 'pharma', etc.) and explaining behavior when omitted (full spread). This goes beyond the schema's terse 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 explicitly states the tool returns example questions about Pipeworx abilities, categorized by topics, and is the onboarding entry point. It distinguishes itself from sibling tools by specifying it provides tool+argument examples and is meant for new users to understand what can be asked.

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 clearly states to use this tool FIRST when unfamiliar with Pipeworx. It also explains how to call it with or without the 'topic' parameter. It does not explicitly exclude other tools, but the guidance 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.