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

Annotations already indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds detailed behavioral context: it explains the return format (category-bucketed example questions with exact tool+argument shapes), that it draws from a live catalog, and how to optionally filter by topic. 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 somewhat long (multiple sentences) but well-structured: it starts with common phrasings, then explains the output format, then usage and where to call it first. It is front-loaded with key information. Could be slightly trimmed, but overall efficient.

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?

The tool has zero required parameters and no output schema. The description fully explains what is returned (category-bucketed example questions with tool+argument shapes) and the source (live catalog). It also covers the optional topic parameter and gives usage context. Complete for the tool's simplicity.

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) fully described. The description adds significant meaning: it explains that omitting topic returns a full spread, and passing a topic focuses the results, listing possible values like 'finance', 'pharma', etc. This goes beyond the schema's minimal description.

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: an onboarding entry point that returns category-bucketed example questions with tool+argument shapes. It uses specific verbs like 'suggest' and 'returns', and distinguishes from siblings like discover_tools and ask_pipeworx by focusing on onboarding and examples.

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 explicitly advises to use this tool first when the agent does not know what Pipeworx can do, and lists specific use cases like 'getting started' and 'what data do you have?'. It does not explicitly state when not to use it, 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.