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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds behavioral context: it returns category-bucketed example questions with exact tool+argument shapes drawn from a live catalog, and specifies that no arguments give full spread vs. topic filtering. 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 moderately long but front-loads key aliases and purpose. Every sentence adds useful detail, though it could be slightly more concise. It is well-structured and readable.

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 purpose as an onboarding aid, the description adequately explains the return format (category-bucketed example questions with tool+argument shape). Although there is no output schema, the description compensates well. It could optionally mention if results are limited or paginated, but this is minor.

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% for the single optional topic parameter. The description adds value by listing possible focus areas (finance, pharma, etc.) and explaining the effect of omitting the parameter (cross-category spread), enhancing the schema definition.

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 explicitly states the tool is the onboarding entry point for new agents, addressing questions like 'what can I ask?' and 'what data do you have?'. It clearly distinguishes itself from sibling tools like ask_pipeworx and discover_tools by being the first step for initial exploration.

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, or to learn how to call the meta-tools'. Provides guidance on optional topic filtering and contrasts with other tools implicitly.

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