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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, covering safety and behavior. The description adds value by revealing the output structure (category-bucketed examples with tool+argument shapes) and usage modes (no args vs topic). 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?

Description is slightly long but well-structured: starts with alternative phrasings, then explains return, call guidance, and use case. Every sentence serves a purpose, though the list of example topics partially duplicates schema content.

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 (1 optional param, no output schema, high annotation coverage), the description completely covers what it does, how to use it, and when to use it. It provides sufficient context for an agent to invoke correctly.

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 input schema already thoroughly describes the single optional parameter `topic` with enumerated examples. Schema coverage is 100%, so description adds minimal value beyond reinforcing the parameter usage. Baseline 3 is appropriate.

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's an onboarding entry point that returns category-bucketed example questions with exact tool/argument shapes. It lists many example topics and explicitly says to use it first when unfamiliar with Pipeworx's capabilities, distinguishing it from siblings like ask_pipeworx or entity_profile.

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?

Provides explicit guidance: call with no arguments for full spread or pass `topic` to focus. Also states the tool should be used FIRST when you don't know what Pipeworx can do or to learn how to call meta-tools, clearly indicating when to use.

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