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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, so the description does not need to restate safety. It adds useful behavioral context by describing the return content (category-bucketed examples, live catalog, exact tool + argument shape) and the no-arguments vs. topic-filtered call modes. No contradiction with 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 long but well-structured and information-dense. It front-loads the purpose with questions, then covers output, parameter usage, and when to call. Every sentence contributes value; the length is justified for an onboarding tool.

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 the tool's low complexity (one optional parameter, no output schema) and strong annotations, the description is complete: it explains what will be returned, how to call with or without topic, the category list, and when to use the tool first. No missing critical context.

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% and the input schema already documents the topic parameter and its allowed values. The description adds only minor reinforcement ('full spread' vs. focus, example values like 'finance' and 'betting') without introducing new semantics, so baseline 3 is appropriate.

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 with the exact tool and argument shape for each. It distinguishes itself from sibling tools like ask_pipeworx and discover_tools by positioning itself as the 'first' call when you do not 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?

Explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and 'or to learn how to call the meta-tools'. This gives a clear when-to-use instruction and implies it should precede other tools, though it does not name specific alternatives to avoid.

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