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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint as true/false. The description adds valuable behavioral context: it returns example questions with exact tool/argument shapes, drawn from a live catalog, and explains that calling without arguments gives full spread. 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 somewhat long but well-structured. It front-loads with common user questions, then explains purpose, return format, and usage. Every sentence is informative; minor reduction could improve conciseness, but overall it is efficient and clear.

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?

No output schema, but the description fully explains the return value: category-bucketed example questions with tool/argument shapes. It covers when to use, how to call, and what to expect, making it complete for a simple onboarding tool with one optional parameter.

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% with a description for 'topic' listing possible values. The description enhances semantics by listing example values (finance, pharma, etc.) and explaining the behavior without topic (full spread) and with topic (focus). This adds meaning beyond the schema.

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 is an onboarding entry point that returns category-bucketed example questions. It uses specific verbs like 'Returns' and 'Use this FIRST', and distinguishes itself from siblings like ask_pipeworx by positioning it as the initial tool to discover 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 states when to use: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' It also explains how to call with no arguments for full spread or with a topic to focus, providing clear context and alternatives.

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