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

The description adds useful behavioral context: it explains the return format (category-bucketed questions with exact tool + argument shapes) and that results come from a live catalog. This complements the readOnly/idempotent annotations without contradicting them; the safety profile is already declared, so no need for destruction warnings.

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 front-loaded with user query variations and then covers return format, topic usage, and when to use it. It's slightly long but every clause contributes; still, it could be tightened into a more structured overview.

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?

Considering there's no output schema, the description adequately describes the return value (category-bucketed example questions with tool call shapes) and gives use-case context. It also names the meta-tools it helps learn, making it complete for an onboarding function.

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 documents the optional topic parameter with an enum-like list and the omit-to-get-full-spread behavior. The description adds a few example values but largely echoes the schema, so it doesn't significantly enrich parameter semantics beyond the existing 100% coverage.

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 what the tool does: it is the onboarding entry point that returns category-bucketed example questions for what Pipeworx can answer. It uses specific verbs and resource scope, and distinguishes itself from sibling discovery tools by focusing on question suggestions rather than tool introspection.

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 explicitly recommends using this tool first when the agent doesn't know Pipeworx's capabilities, and explains how to use optional topic filtering. However, it doesn't explicitly state when to prefer sibling tools like discover_tools or ask_pipeworx, only naming them as meta-tools to learn about.

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