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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds that the response is category-bucketed, drawn from a live catalog of thousands of tools, and that calling with no arguments returns the full spread while a topic focuses the output. This additional behavioral context is useful and consistent with the annotations.

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 long run-on sentence with many slash-separated example questions and categories. It contains all necessary information but could be better structured with clear sentences or bullets. While front-loaded with examples, the dense format makes it less scannable than the ideal.

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 simple one-parameter tool with no output schema, the description covers the purpose, output format, parameter behavior, and a usage trigger. It is rich enough for an agent to know when and how to invoke it, and what to expect. Minor gaps include not mentioning whether the output is truncated or formatted, but given the tool's simplicity, it is nearly 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 documents the topic parameter with all valid values and the omit behavior ('Omit for a cross-category spread'). The description adds only the phrase 'to focus' and a few examples, providing marginal added meaning. With 100% schema coverage, the description does not significantly enhance parameter understanding beyond what the schema already provides.

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 that this tool returns category-bucketed example questions with exact tool and argument shapes, serving as an onboarding entry point for understanding Pipeworx. It specifies the resource and scope (what questions to ask) but does not explicitly differentiate from the sibling discover_tools, though it positions itself as 'the onboarding entry point.'

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 provides an explicit when-to-use trigger: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' This gives clear guidance on the appropriate context and even mentions meta-tools as a related learning target, though it does not name specific alternative tools to avoid or contrast.

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