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

The annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is clear. The description goes beyond annotations by detailing the output (category-bucketed example questions with tool+argument shapes) and the fact that it draws from a live catalog. 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 longer but well-structured, starting with alternative phrasings, then explaining the output and usage. Every sentence adds value. Could be slightly trimmed, but it effectively communicates the tool's role without redundancy.

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 role as an onboarding aid with no output schema, the description fully covers what the tool returns, how to call it, and its place among sibling tools. It even mentions learning how to call meta-tools, which is critical for new users. No gaps remain.

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% with one parameter 'topic' described as 'Optional focus area: finance | pharma | ...' The description adds examples of accepted values ('finance', 'pharma', 'betting') and explains the effect of omitting the parameter (full spread), which provides context beyond the schema.

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 for new users to learn what questions Pipeworx can answer. It uses specific verbs ('returns category-bucketed example questions') and explicitly distinguishes from siblings by positioning itself as the first tool to use when unfamiliar with the system.

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 guidance on when to use this tool: 'Use this FIRST when you do not yet know what Pipeworx can do for you.' It also provides usage variants: no arguments for full spread or 'topic' argument to focus. It lacks a clear statement of when not to use it, but the context implies it is for exploration.

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