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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds valuable behavioral context: it returns category-bucketed examples with exact tool+argument shapes, drawn from a live catalog of thousands of tools, and explains that omitting topic gives the full spread. This goes beyond the annotations without contradicting them.

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 dense paragraph but front-loaded with example queries and immediately states the tool's purpose. Every sentence contributes, covering categories, output shape, call patterns, and usage timing. Slightly long but well-structured and free of filler.

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 tool with one optional parameter and no output schema, the description is thorough. It explains what the tool returns (category-bucketed examples with tool+argument shapes), how to invoke it (with or without topic), and when to use it (first when onboarding). No significant gaps remain for the agent to invoke it 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 schema covers 100% of parameters, but the description enriches the meaning of `topic` by giving examples ('finance', 'pharma', 'betting') and clarifying that omitting it yields a cross-category spread. This adds practical usage context beyond the schema's enum-style 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 a specific verb and resource: it 'Returns category-bucketed example questions' and identifies itself as 'the onboarding entry point'. It distinguishes from siblings by focusing on helping users discover what to ask and how to call meta-tools, unlike discover_tools which might have a different focus.

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 gives explicit usage guidance: '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 or without the topic parameter. However, it does not explicitly mention when not to use it or mention alternative tools by name, so it misses the top tier.

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