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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. Description adds that it returns category-bucketed example questions drawn from the live catalog with exact tool+argument shapes, which is useful behavioral context beyond annotations. No contradictions.

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 detailed but front-loaded with purpose and usage. Every sentence adds value, though it is slightly lengthy. Structure is clear with examples and categories listed.

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?

For a simple onboarding tool with one optional parameter and no output schema, the description is very complete: it explains the return type (category-bucketed questions with tool shapes), when to use, and how to focus. No gaps.

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 has 100% coverage with a description for 'topic' listing possible values. Description adds that omitting 'topic' gives full spread and passing it focuses, which adds usage nuance beyond the schema's enum-like 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 it's the onboarding entry point for a new agent, returning category-bucketed example questions with tool+argument shapes. It distinguishes from siblings like 'ask_pipeworx' and 'discover_tools' by being the first use when unsure what Pipeworx can do, and it lists the categories covered.

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 when you do not yet know what Pipeworx can do for you' and mentions learning how to call meta-tools. It also provides a condition for omitting or including the 'topic' parameter, giving clear when-to-use and focus guidance.

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