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

Annotations already indicate readOnly, openWorld, idempotent, and non-destructive. The description adds the specific return format (category-bucketed examples with exact tool+argument shapes) and that calling without arguments gives a full spread. This enriches the behavioral understanding beyond 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 a single paragraph but well-structured: it starts with alternate phrasings, then explains purpose, return format, and usage. While it contains some redundancy (multiple phrasings), every sentence provides value and the front-loading is effective.

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 tool's simplicity (one optional parameter, no output schema), the description is comprehensive. It explains what the tool returns, how to use it (with/without topic), and when to use it (first-time onboarding). No gaps remain.

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 context beyond the schema by explaining the effect of omitting vs. specifying a topic, and lists example values. This adds meaningful guidance for parameter use.

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 it returns category-bucketed example questions for an onboarding entry point. It distinguishes from siblings by marking itself as the first tool to use when unfamiliar with Pipeworx and references meta-tools as separate capabilities.

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 says 'Use this FIRST' and describes when to use the topic parameter. It covers the primary usage scenario but does not explicitly state when not to use it or name alternative tools for specific queries, though the onboarding context is clear.

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