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

The description builds on top of annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint) by detailing the output (category-bucketed example questions with tool+argument shapes). It adds meaningful behavioral context beyond what the annotations alone provide, such as the structure and focus capability.

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 common user queries and provides a well-organized explanation. It is relatively long but every sentence contributes value, avoiding redundancy. The structure is logical and effective.

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 no output schema, the description thoroughly explains the output content and purpose. It fully compensates for the lack of output schema by detailing the category-bucketed examples and the optional topic filter. The tool is simple (one optional param), and the description is complete.

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 already covers the one parameter (topic) with a description. The description adds extra nuance (e.g., that omitting topic gives a full cross-category spread), but since schema coverage is 100%, the added value is moderate. Baseline 3 fits.

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 as an onboarding entry point that returns category-bucketed example questions. It uses specific verbs like 'returns' and 'use this FIRST', and explicitly distinguishes itself from sibling tools by guiding agents to use it when they don't know what Pipeworx can do.

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?

It provides explicit guidance on when to use the tool ('Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools') and how to optionally focus with a topic. It does not explicitly list when not to use, but the context is clear.

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